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2008 Seventh International Conference on Machine Learning and Applications
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2008 Seventh International Conference on Machine Learning and Applications
December 11-December 13
ISBN: 978-0-7695-3495-4
Table of Contents
Papers
[Front cover]
(PDF)
pp. C1
ABSTRACT
PDF
[Copyright notice]
(PDF)
pp. iv
ABSTRACT
PDF
Table of contents
(PDF)
pp. v-xv
ABSTRACT
PDF
Title Page i
(PDF)
pp. i
ABSTRACT
PDF
Title Page iii
(PDF)
pp. iii
ABSTRACT
PDF
Preface
(PDF)
pp. xvi
ABSTRACT
PDF
Conference Committees
(PDF)
pp. xvii-xviii
ABSTRACT
PDF
International Program Committee
(PDF)
pp. xix-xxiv
ABSTRACT
PDF
ICMLA 2008 Invited Speakers
(PDF)
Dan Roth
Jude Shavlik
Michael I. Jordan
Bin Yu
Andrew Moore
Philip Bourne
pp. xxv-xxviii
ABSTRACT
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A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
(Abstract)
Silvia Chiappa
pp. 3-9
ABSTRACT
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Prioritizing Health Promotion Plans with k-Bayesian Network Classifier
(Abstract)
Ken Ueno
Toshio Hayashi
Koichiro Iwata
Nobuyoshi Honda
Youichi Kitahara
Topon Kumar Paul
pp. 10-15
ABSTRACT
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Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition
(Abstract)
Lifeng Shang
Kwok-Ping Chan
pp. 16-22
ABSTRACT
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A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems
(Abstract)
Ole-Christoffer Granmo
pp. 23-30
ABSTRACT
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Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction
(Abstract)
Blanco
Manuel Martin-Meríno
Javier De Las Rivas
pp. 33-39
ABSTRACT
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Making the Lipschitz Classifier Practical via Semi-infinite Programming
(Abstract)
André Stuhlsatz
Hans-Günter Meier
Andreas Wendemuth
pp. 40-47
ABSTRACT
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A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function
(Abstract)
Nisrine Jrad
Edith Grall-Maës
Pierre Beauseroy
pp. 48-53
ABSTRACT
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Selecting Examples in Manifold Reduced Feature Space for Active Learning
(Abstract)
C. Silva
B. Ribeiro
pp. 54-59
ABSTRACT
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Network-Constrained Support Vector Machine for Classification
(Abstract)
Li Chen
Jianhua Xuan
Yue Wang
Rebecca B. Riggins
Robert Clarke
pp. 60-65
ABSTRACT
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Learning-Based Fusion for Data Deduplication
(Abstract)
Jared Dinerstein
Sabra Dinerstein
Parris K. Egbert
Stephen W. Clyde
pp. 66-71
ABSTRACT
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Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
(Abstract)
Sertan Girgin
Philippe Preux
pp. 75-82
ABSTRACT
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A Predictive Model for Imitation Learning in Partially Observable Environments
(Abstract)
Abdeslam Boularias
pp. 83-90
ABSTRACT
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Classifier-Based Policy Representation
(Abstract)
Ioannis Rexakis
Michail G. Lagoudakis
pp. 91-98
ABSTRACT
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Prediction-Directed Compression of POMDPs
(Abstract)
Abdeslam Boularias
Masoumeh Izadi
Brahim Chaib-draa
pp. 99-105
ABSTRACT
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Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k
(Abstract)
K. Nunez
J. Chen
P. Chen
G. Ding
R. F. Lax
B. Marx
pp. 106-111
ABSTRACT
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A Greedy Approach for Building Classification Cascades
(Abstract)
Sherif Abdelazeem
pp. 115-120
ABSTRACT
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Calibrating Random Forests
(Abstract)
Henrik Boström
pp. 121-126
ABSTRACT
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On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
(Abstract)
Tuve L
Ulf Johansson
Henrik Bostr
pp. 127-132
ABSTRACT
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New Insights into Learning Algorithms and Datasets
(Abstract)
Jun won Lee
Christophe Giraud-Carrier
pp. 135-140
ABSTRACT
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Learning Analysis by Reduction from Positive Data Using Reverible Languages
(Abstract)
Petr Hoffmann
pp. 141-146
ABSTRACT
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Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data
(Abstract)
Boseon Byeon
Khaled Rasheed
pp. 147-152
ABSTRACT
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Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data
(Abstract)
Andres Folleco
Taghi M. Khoshgoftaar
Amri Napolitano
pp. 153-158
ABSTRACT
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Improving Kernel Density Classifier Using Corrective Bandwidth Learning with Smooth Error Loss Function
(Abstract)
Dwi Sianto Mansjur
Biing Hwang Juang
pp. 161-167
ABSTRACT
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An Investigation of Non-Uniform Error Cost Function Design in Automatic Speech Recognition
(Abstract)
Qiang Fu
Biing-Hwang Juang
pp. 168-173
ABSTRACT
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Boundary Constrained Manifold Unfolding
(Abstract)
Liu Bo
Zhang Hongbin
Chen Wenan
pp. 174-181
ABSTRACT
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Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
(Abstract)
Johannes Mohr
Sambu Seo
Imke Puls
Andreas Heinz
Klaus Obermayer
pp. 182-187
ABSTRACT
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Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
(Abstract)
Karim Abou-Moustafa
Frank P. Ferrie
pp. 188-193
ABSTRACT
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Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
(Abstract)
Sophia Sakellaridi
Haw-ren Fang
Yousef Saad
pp. 194-200
ABSTRACT
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Model Based Unsupervised Learning Guided by Abundant Background Samples
(Abstract)
Rami N. Mahdi
Eric C. Rouchka
pp. 203-210
ABSTRACT
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Chi-Sim: A New Similarity Measure for the Co-clustering Task
(Abstract)
Gilles Bisson
Fawad Hussain
pp. 211-217
ABSTRACT
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Relational Analysis for Consensus Clustering from Multiple Partitions
(Abstract)
Mustapha Lebbah
Younès Bennani
Hamid Benhadda
pp. 218-223
ABSTRACT
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Probabilistic Mixed Topological Map for Categorical and Continuous Data
(Abstract)
Nicoleta Rogovschi
Mustapha Lebbah
Younès Bennani
pp. 224-231
ABSTRACT
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Farthest Centroids Divisive Clustering
(Abstract)
Haw-ren Fang
Yousef Saad
pp. 232-238
ABSTRACT
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Are Neural Fields Suitable for Vector Quantization?
(Abstract)
Lucian Alecu
Hervé Frezza-Buet
pp. 239-244
ABSTRACT
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Image Segmentation as Learning on Hypergraphs
(Abstract)
Lei Ding
Alper Yilmaz
pp. 247-252
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Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car
(Abstract)
Sungmoon Jeong
Sang-Woo Ban
Minho Lee
pp. 253-258
ABSTRACT
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Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
(Abstract)
Volker Willert
Julian Eggert
Marc Toussaint
Edgar Körner
pp. 259-266
ABSTRACT
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Video Shot Segmentation Using Late Fusion Technique
(Abstract)
C. Krishna Mohan
N. Dhananjaya
B. Yegnanarayana
pp. 267-270
ABSTRACT
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Detection of Unnatural Movement Using Epitomic Analysis
(Abstract)
Wooyoung Kim
James M. Rehg
pp. 271-276
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Comparison with Parametric Optimization in Credit Card Fraud Detection
(Abstract)
Manoel Fernando Alonso Gadi
Xidi Wang
Alair Pereira do Lago
pp. 279-285
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A Study of GP's Division Operators for Symbolic Regression
(Abstract)
Matej Šprogar
pp. 286-291
ABSTRACT
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Adaptively Evolving Probabilities of Genetic Operators
(Abstract)
Fatemeh Vafaee
Weimin Xiao
Peter C. Nelson
Chi Zhou
pp. 292-299
ABSTRACT
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Scalable Patch Management Using Evolutionary Analysis of Attack Graphs
(Abstract)
Melissa Danforth
pp. 300-307
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Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices
(Abstract)
Hang T. Nguyen
Ian T. Nabney
pp. 311-317
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Improving Accuracy in the Montgomery County Corrections Program Using Case-Based Reasoning
(Abstract)
Caio Soares
Christin Hamilton
Lacey Montgomery
Juan E. Gilbert
pp. 318-323
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Extraction of Failure Graphs from Structured and Unstructured Data
(Abstract)
Martin Schierle
Daniel Trabold
pp. 324-330
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Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment
(Abstract)
Zhuo Sun
Yiqiang Chen
Juan Qi
Junfa Liu
pp. 331-336
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Does Wikipedia Information Help Netflix Predictions?
(Abstract)
John Lees-Miller
Fraser Anderson
Bret Hoehn
Russell Greiner
pp. 337-343
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Boltzmann Machine Topology Learning for Distributed Sensor Networks Using Loopy Belief Propagation Inference
(Abstract)
C. Picus
L. Cambrini
W. Herzner
pp. 344-349
ABSTRACT
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Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
(Abstract)
Haimonti Dutta
Ananda Matthur
pp. 350-355
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Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
(Abstract)
Erdal Kayacan
Yesim Oniz
Okyay Kaynak
Andon V. Topalov
pp. 356-361
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A Fully Automatic Crossword Generator
(Abstract)
Leonardo Rigutini
Michelangelo Diligenti
Marco Maggini
Marco Gori
pp. 362-367
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CoReJava: Learning Functions Expressed as Object-Oriented Programs
(Abstract)
Alexander Brodsky
Juan Luo
Hadon Nash
pp. 368-375
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Speaker Siglet Detection for Business Microscope
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Jun Nishimura
Nobuo Sato
Tadahiro Kuroda
pp. 376-381
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Automated Analysis for Detecting Beams in Laser Wakefield Simulations
(Abstract)
Daniela M. Ushizima
Oliver Rübel
Prabhat
Gunther H. Weber
E. Wes Bethel
Cecilia R. Aragon
Cameron G. R. Geddes
Estelle Cormier-Michel
Bernd Hamann
Peter Messmer
Hans Hagen
pp. 382-387
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Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
(Abstract)
Joshua M. Lewis
Pincelli M. Hull
Kilian Q. Weinberger
Lawrence K. Saul
pp. 388-395
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Distributed Planning in Stochastic Games with Communication
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Andriy Burkov
Brahim Chaib-draa
pp. 396-401
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Multi-stage Learning of Linear Algebra Algorithms
(Abstract)
Victor Eijkhout
Erika Fuentes
pp. 402-407
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Optimization on a Novel Quantum Greedy Approach Based on Learning Strategy for Zero and One Knapsack Problem and Evaluation
(Abstract)
Mir Shahriar Emami
pp. 408-414
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Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
(Abstract)
Etienne Côme
Zohra Leila Cherfi
Latifa Oukhellou
Patrice Aknin
pp. 415-420
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Estimation of Gaussian Mixtures from Moments
(Abstract)
John Byrnes
pp. 421-425
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Force Feature Spaces for Visualization and Classification
(Abstract)
Dragana Veljkovic
Kay A. Robbins
pp. 426-433
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Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow
(Abstract)
Thomas Lochmatter
Alcherio Martinoli
pp. 437-443
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Integration of Chemical and Visual Sensors for Identifying an Odor Source in Near Shore Ocean Conditions
(Abstract)
W. Li
J. Sutton
Y. Li
pp. 444-449
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Extraction of Meaningful Rules in a Medical Database
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Sang C. Suh
Sam Saffer
Naveen Kumar Adla
pp. 450-456
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Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification
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Bobbie-Jo M. Webb-Robertson
Melissa M. Matzke
Christopher S. Oehmen
pp. 457-462
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A Qualia Framework for Ladar 3D Object Classification
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Matthew D. Eyster
Michael J. Mendenhall
Steven K. Rogers
pp. 463-469
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Development of CPT_M3D for Multiple Chemical Plume Tracing and Source Identification
(Abstract)
J. Sutton
W. Li
pp. 470-475
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Active Stereo Olfactory Sensing System for Localization of Gas/Odor Source
(Abstract)
Atsushi Kohnotoh
Hiroshi Ishida
pp. 476-481
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Crayfish Robot Employing Flow Induced by Waving to Locate a Chemical Source
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Mari Ohashi
Yuichi Minagawa
Yuki Myoren
Hiroshi Ishida
pp. 482-488
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Toward Chemical-Trail Following Robots
(Abstract)
Pedro Sousa
Lino Marques
An de Almeida
pp. 489-494
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Assessing Torso Deformity in Scoliosis Using Self-Organizing Neural Networks (SNN)
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Philip Igwe
Mahdieh Emrani
Samer Adeeb
Doug Hill
pp. 497-502
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Automated Microarray Classification Based on P-SVM Gene Selection
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Johannes Mohr
Sambu Seo
Klaus Obermayer
pp. 503-507
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Automating Microarray Classification Using General Regression Neural Networks
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Caio Soares
Lacey Montgomery
Kenneth Rouse
Juan E. Gilbert
pp. 508-513
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Incremental Hybrid Approach for Microarray Classification
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M. Arif Wani
pp. 514-520
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Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN)
(Abstract)
Kenji Suzuki
pp. 523-527
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Using Neural Networks to Predict Breathing Motion
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Martin J. Murphy
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Tong Lin
Laura Cervino
Xiaoli Tang
Nuno Vasconcelos
Steve B. Jiang
pp. 533-538
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Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities
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Issam El Naqa
Jeffrey D. Bradley
Joseph O. Deasy
pp. 539-544
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Shiva K. Das
Shifeng Chen
Joseph O. Deasy
Sumin Zhou
Fang-Fang Yin
Lawrence B. Marks
pp. 545-550
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Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
(Abstract)
Xiaoli Tang
Tong Lin
Steve Jiang
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Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
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Cecilia Sönströd
Ulf Johansson
Ulf Norinder
Henrik Boström
pp. 559-564
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RNA Search Acceleration with Genetic Algorithm Generated Decision Trees
(Abstract)
Scott F. Smith
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C Low-Kam
Anne Laurent
Maguelonne Teisseire
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Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
(Abstract)
Theodoros Damoulas
Yiming Ying
Mark A. Girolami
Colin Campbell
pp. 577-582
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Microarray Classification from Several Two-Gene Expression Comparisons
(Abstract)
Donald German
Bahman Afsari
Aik Choon Tan
Daniel Q. Naiman
pp. 583-585
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Group Testing in the Development of an Expanded Cancer Staging System
(Abstract)
Dechang Chen
Kai Xing
Donald Henson
Li Sheng
pp. 589-594
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Clustering for DNA Microarray Data Analysis with a Graph Cut Based Algorithm
(Abstract)
Jia Song
Chunmei Liu
Yinglei Song
Junfeng Qu
pp. 595-598
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Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC Maximization
(Abstract)
Zhenqiu Liu
pp. 599-603
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External Validation of a Bayesian Neural Network Model in Survival Analysis
(Abstract)
Azzam Taktak
Antonio Eleuteri
Min Aung
Paulo Lisboa
Laurence Desjardins
Bertil Damato
pp. 607-612
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Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors
(Abstract)
Paulo J. G. Lisboa
Enrique Romero
Alfredo Vellido
Margarida Julià-Sapé
Carles Arús
pp. 613-618
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A Comparison of Three Different Methods for Classification of Breast Cancer Data
(Abstract)
Daniele Soria
Jonathan M. Garibaldi
Elia Biganzoli
Ian O. Ellis
pp. 619-624
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Support Vector Machines versus Decision Templates in Biomedical Decision Fusion
(Abstract)
Ioannis N. Dimou
Michalis E. Zervakis
pp. 625-630
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Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data
(Abstract)
Qingzhong Liu
Mengyu Qiao
Andrew H. Sung
pp. 631-636
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Hermite/Laguerre Neural Networks for Classification of Artificial Fingerprints from Optical Coherence Tomography
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Leif E. Peterson
Kirill V. Larin
pp. 637-643
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Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival
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Ana S. Fernandes
Ian H. Jarman
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Cancer Profiles by Affinity Propagation
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Elena Raimondi
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Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
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Karim Tabia
Salem Benferhat
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Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains
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Andrew H. Sung
Mengyu Qiao
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Research on Data Mining Algorithms for Automotive Customers' Behavior Prediction Problem
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Lan Huang
Chun-guang Zhou
Yu-qin Zhou
Zhe Wang
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Dynamic Knowledge Management Procedure Using Fuzzy Clustering
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Perfecto Herrera
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Ilhami Colak
Seref Sagiroglu
H. Tolga Kahraman
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Prediction of Inter-residue Contact Clusters from Hydrophobic Cores
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Peng Chen
Chunmei Liu
Legand Burge
Mahmood Mohammad
Bill Southerland
Clay Gloster
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Ensemble Machine Methods for DNA Binding
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Yue Fan
Mark A. Kon
Charles DeLisi
pp. 709-716
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Gene Network Learning Using Regulated Dynamic Bayesian Network Methods
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Xiaotong Lin
Xue-wen Chen
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Kai Xing
Donald Henson
Li Sheng
Arnold M. Schwartz
Xiuzhen Cheng
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Text, Image and Vector Graphics Based Appraisal of Contemporary Documents
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Sang-Chul Lee
William McFadden
Peter Bajcsy
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Shyue-Liang Wang
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Tzung-Pei Hong
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Thanh Minh Nguyen
Q. M. Jonathan Wu
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Incremental Learning for Multitask Pattern Recognition Problems
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Seiichi Ozawa
Asim Roy
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Jaisheel Mistry
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Tshlidzi Marwala
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M. Randolph-Gips
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Text Classification Using Tree Kernels and Linguistic Information
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Teresa Gonçalves
Paulo Quaresma
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Knowledge-Supervised Learning by Co-clustering Based Approach
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Dikan Xing
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Mehrdad Fatourechi
Rabab K. Ward
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Ayse Cufoglu
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Kambiz Madani
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Applying Learning by Tutelage and Multimodal Interface to Sociable Robots
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Claudio A. Policastro
Gabriel D. Pais
Vitor R. Munhoz
Roseli A. F. Romero
Giovana Zuliani
Ednaldo Pizzolato
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Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Variable Selection
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Eija Haapalainen
Perttu Laurinen
Juha Röning
Hannu Kinnunen
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Pekka Siirtola
Perttu Laurinen
Juha Röning
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Jun won Lee
Christophe Giraud-Carrier
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Erik Linstead
Cristina Lopes
Pierre Baldi
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Machine Learning Techniques Applied to Dynamic Video Adapting
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Robson Eisinger
Roseli A. F. Romero
Rudinei Goularte
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Comparative Analysis of the Impact of Discretization on the Classification with Na
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Lukasz Kurgan
Marek Ogiela
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[Publisher's information]
(PDF)
pp. 906
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Biological Plausibility in Artificial Neural Networks: An Improvement on Earlier Models
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Alberione Braz da Silva
João Lu Rosa
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Research of PU Text Semi-supervised Classification Based on Ontology Feature Extraction
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Na Luo
Fuyu Yuan
WanLi Zuo
Fengling He
pp. 835-838
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Handling Large Volumes of Mined Knowledge with a Self-Reconfigurable Topology on Distributed Systems
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Nhien-An Le-Khac
Lamine M. Aouad
M-Tahar Kechadi
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Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks
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Derrick T. Mirikitani
Nikolay Nikolaev
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Entropy-Based Defuzzification Method with Expert's Epistemic Uncertainty for Deteriorating Repairable Systems
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Chi-Chang Chang
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Identification of Patterns via Region-Growing Parallel SOM Neural Network
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Iren Valova
Daniel MacLean
Derek Beaton
pp. 853-858
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Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network
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Ling Cen
Wee Ser
Zhu Liang Yu
pp. 859-862
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Data Integration for Recommendation Systems
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Zhonghang Xia
Houduo Qi
Manghui Tu
Wenke Zhang
pp. 863-866
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Online Writer-Independent Character Recognition Using a Novel Relational Context Representation
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Sara Izadi
Ching Y. Suen
pp. 867-870
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Mining of Frequent Externally Extensible Outerplanar Graph Patterns
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Hitoshi Yamasaki
Takayoshi Shoudai
pp. 871-876
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A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection
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Tich Phuoc Tran
Pohsiang Tsai
Tony Jan
pp. 877-882
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Protein-Protein Interaction Prediction Using Single Class SVM
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Hairong Lei
Joe Michael Kniss
pp. 883-887
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Statistical Face Recognition via a k-Means Iterative Algorithm
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C. Cifarelli
G. Manfredi
L. Nieddu
pp. 888-891
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Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient
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Chidentree Treesatayapun
Vicente Parra Vega
Francisco José Ruiz Sánchez
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A Data Driven Knowledge Acquisition Method and Its Application in Power System Dynamic Stability Assessment
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Lin Guan
Tong-wen Wang
Yao Zhang
Li-jun Zhang
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Author Index
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pp. 900-905
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