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2007
Sixth International Conference on Machine Learning and Applications (ICMLA 2007)
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Bibliographic References
ASCII Text
BibTex
Refworks Procite/RefMan
Sixth International Conference on Machine Learning and Applications (ICMLA 2007)
Cincinnati, Ohio, USA
December 13-December 15
ISBN: 0-7695-3069-9
Table of Contents
Introduction
Preface
(PDF)
pp. xii
ABSTRACT
PDF
Conference Committees
(PDF)
pp. xiii
ABSTRACT
PDF
International Program Committee
(PDF)
pp. xiv-xvi
ABSTRACT
PDF
Invited Speakers
Machine Learning for Information Management: Some Promising Directions
(PDF)
Dr. William Cohen
pp. xvii
ABSTRACT
PDF
Probabilistic Graphical Models-Theory, Algorithm, and Application
(PDF)
Dr. Eric Xing
pp. xvii
ABSTRACT
PDF
Machine Learning Challenges in Chemoinformatics and Drug Screening and Design
(PDF)
Professor Pierre Baldi
pp. xviii
ABSTRACT
PDF
Text Mining and Ontology Applications in Bioinformatics and GIS
(PDF)
Professor Shamkant B. Navathe
pp. xviii
ABSTRACT
PDF
Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures
(PDF)
Professor Jacek M. Zurada
pp. xix
ABSTRACT
PDF
Learning in Biomedicine and Bioinformatics Using Affinity Propagation
(PDF)
Dr. Brendan J. Frey
pp. xx
ABSTRACT
PDF
Technologies and Solutions for Trend Detection in Public Literature for Biomarker Discovery
(PDF)
Dr. Bernd Wachmann
pp. xx-xxi
ABSTRACT
PDF
Support Vector Machines
An Optimization Method for Selecting Parameters in Support Vector Machines
(Abstract)
Yulin Dong
Zhonghang Xia
Manghui Tu
Guangming Xing
pp. 1-6
ABSTRACT
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Large Scale Classification with Support Vector Machine Algorithms
(Abstract)
Thanh-Nghi Do
Jean-Daniel Fekete
pp. 7-12
ABSTRACT
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Modifying Kernels Using Label Information Improves SVM Classification Performance
(Abstract)
Renqiang Min
Anthony Bonner
Zhaolei Zhang
pp. 13-18
ABSTRACT
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Evolving Kernel Functions for SVMs by Genetic Programming
(Abstract)
Laura Diosan
Alexandrina Rogozan
Jean Pierre Pecuchet
pp. 19-24
ABSTRACT
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Sparsity Regularization Path for Semi-Supervised SVM
(Abstract)
Gilles Gasso
Karina Zapien
Stephane Canu
pp. 25-30
ABSTRACT
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Evolutionary Methods
Improving Gene Expression Programming Performance by Using Differential Evolution
(Abstract)
Qiongyun Zhang
Chi Zhou
Weimin Xiao
Peter C. Nelson
pp. 31-37
ABSTRACT
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Using Genetic Programming for the Induction of Oblique Decision Trees
(Abstract)
Amin Shali
Mohammad Reza Kangavari
Bahareh Bina
pp. 38-43
ABSTRACT
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Extraction of Minimum Decision Algorithm Using Rough Sets and Genetic Algorithms
(Abstract)
Michiyuki Hirokane
Shusaku Kouno
Yasutoshi Nomura
pp. 44-49
ABSTRACT
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Design of Simple Limit Cycles with Recurrent Neural Networks for Oscillatory Control
(Abstract)
Guillaume Jouffroy
pp. 50-55
ABSTRACT
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Multi-Stages Genetic Algorithms: Introducing Temporal Structures to Facilitate Selection of Optimal Evolutionary Paths
(Abstract)
Ting Qian
pp. 56-61
ABSTRACT
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A New Ant Evolution Algorithm to Resolve TSP Problem
(Abstract)
QingBao Zhu
ShuYan Chen
pp. 62-66
ABSTRACT
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Data Mining
An Efficient Constraint-Based Closed Set Mining Algorithm
(Abstract)
Haiyun Bian
Raj Bhatnagar
Barrington Young
pp. 67-72
ABSTRACT
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Rare Itemset Mining
(Abstract)
Mehdi Adda
Lei Wu
Yi Feng
pp. 73-80
ABSTRACT
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Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction
(Abstract)
P. Santhi Thilagam
Ananthanarayana V.S
pp. 81-86
ABSTRACT
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An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules
(Abstract)
Claudio Haruo Yamamoto
Magaly Lika Fujimoto
Solange Oliveira Rezende
pp. 87-92
ABSTRACT
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Clustering Categorical Data Based on Maximal Frequent Itemsets
(Abstract)
Dadong Yu
Dongbo Liu
Rui Luo
Jianxin Wang
pp. 93-97
ABSTRACT
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Learning
Learning Algorithms for Grammars of Variable Arity Trees
(Abstract)
Neetha Sebastian
Kamala Krithivasan
pp. 98-103
ABSTRACT
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An Incremental Viterbi Algorithm
(Abstract)
Jason Bobbin
pp. 104-111
ABSTRACT
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Phase Transition and Heuristic Search in Relational Learning
(Abstract)
Erick Alphonse
Aomar Osmani
pp. 112-117
ABSTRACT
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Learning Complex Problem Solving Expertise from Failures
(Abstract)
Cristina Boicu
Gheorghe Tecuci
Mihai Boicu
pp. 118-123
ABSTRACT
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Bias-Variance Tradeoff in Hybrid Generative-Discriminative Models
(Abstract)
Guillaume Bouchard
pp. 124-129
ABSTRACT
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Text and Multimedia Learning
Combining Active Learning and Relevance Vector Machines for Text Classification
(Abstract)
Catarina Silva
Bernardete Ribeiro
pp. 130-135
ABSTRACT
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Efficient Label Propagation for Interactive Image Segmentation
(Abstract)
Fei Wang
Xin Wang
Tao Li
pp. 136-141
ABSTRACT
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An OCR-Independent Character Segmentation Using Shortest-Path in Grayscale Document Images
(Abstract)
Jia Tse
Christopher Jones
Dean Curtis
Evangelos Yfantis
pp. 142-147
ABSTRACT
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Boosting Inductive Transfer for Text Classification Using Wikipedia
(Abstract)
Somnath Banerjee
pp. 148-153
ABSTRACT
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Discover the Power of Social and Hidden Curriculum to Decision Making: Experiments with Enron Email and Movie Newsgroups
(Abstract)
Hung-Ching Chen
Mark Goldberg
Malik Magdon-Ismail
William A. Wallace
pp. 154-159
ABSTRACT
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Application I
Soft Failure Detection Using Factorial Hidden Markov Models
(Abstract)
Guillaume Bouchard
Jean-Marc Andreoli
pp. 160-165
ABSTRACT
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Memory-Based Context-Sensitive Spelling Correction at Web Scale
(Abstract)
Andrew Carlson
Ian Fette
pp. 166-171
ABSTRACT
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Covariance Matrix Computations with Federated Databases
(Abstract)
Barrington Young
Raj Bhatnagar
Giridhar Tatavarty
Haiyun Bian
pp. 172-177
ABSTRACT
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Recognition of Ultrasonic Multi-Echo Sequences for Autonomous Symbolic Indoor Tracking
(Abstract)
Andre Stuhlsatz
pp. 178-185
ABSTRACT
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An Agent Based System for California Electricity Market: A Perspective of Myopic Machine Learning
(Abstract)
Toshiyuki Sueyoshi
Gopalakrishna Reddy Tadiparthi
pp. 186-191
ABSTRACT
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Predicting Building Contamination Using Machine Learning
(Abstract)
Shawn Martin
Sean McKenna
pp. 192-197
ABSTRACT
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Bootstrapping Algorithms for an Application in the Automotive Domain
(Abstract)
Martin Schierle
Sascha Schulz
pp. 198-203
ABSTRACT
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Classification
An Application of a Rule-Based Model in Software Quality Classification
(Abstract)
Taghi M. Khoshgoftaar
Lofton A. Bullard
Kehan Gao
pp. 204-210
ABSTRACT
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Estimating Class Probabilities in Random Forests
(Abstract)
Henrik Bostrom
pp. 211-216
ABSTRACT
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Effect of Synaptic Weight Assignment on Spiking Neuron Response
(Abstract)
Robert H. Fujii
Taiki Ichishita
pp. 217-222
ABSTRACT
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Application II
A Comparison of Two Algorithms for Predicting the Condition Number
(Abstract)
Dianwei Han
Jun Zhang
pp. 223-228
ABSTRACT
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Evolutionary Sound Matching: A Test Methodology and Comparative Study
(Abstract)
Thomas J. Mitchell
David P. Creasey
pp. 229-234
ABSTRACT
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Learning to Evaluate Conditional Partial Plans
(Abstract)
Slawomir Nowaczyk
Jacek Malec
pp. 235-240
ABSTRACT
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Regression/Prediction
A Spline Based Regression Technique on Interval Valued Noisy Data
(Abstract)
Balaji Kommineni
Shubhankar Basu
Ranga Vemuri
pp. 241-247
ABSTRACT
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A New Time Series Prediction Algorithm Based on Moving Average of
n
th
-Order Difference
(Abstract)
Yang Lan
Daniel Neagu
pp. 248-253
ABSTRACT
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Machine Learned Regression for Abductive DNA Sequencing
(Abstract)
David J. Thornley
Maxim Zverev
Stavros Petridis
pp. 254-259
ABSTRACT
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Automatic Medical Coding of Patient Records via Weighted Ridge Regression
(Abstract)
Jian-Wu Xu
Shipeng Yu
Jinbo Bi
Lucian Vlad Lita
Radu Stefan Niculescu
R. Bharat Rao
pp. 260-265
ABSTRACT
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Constructive Neural Network Ensemble for Regression Tasks in High Dimensional Spaces
(Abstract)
Adeline Schmitz
Hamid Hefazi
pp. 266-273
ABSTRACT
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Machine Learning in Web Based Real-Time Applications
Web-Based Maze Robot Learning Using Fuzzy Motion Control System
(Abstract)
Nihat Yilmaz
Seref Sagiroglu
pp. 274-279
ABSTRACT
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Web Based Machine Learning for Language Identification and Translation
(Abstract)
Seref Sagiroglu
Uraz Yavanoglu
Esra Nergis Guven
pp. 280-285
ABSTRACT
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A Web Based Adaptive Educational System
(Abstract)
Hamdi Tolga Kahraman
Ilhami Colak
Seref Sagiroglu
pp. 286-291
ABSTRACT
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Dimensionality Reduction
Dimensionality Reduction for Active Learning with Nearest Neighbour Classifier in Text Categorisation Problems
(Abstract)
Michael Davy
Saturnino Luz
pp. 292-297
ABSTRACT
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Scalable Optimal Linear Representation for Face and Object Recognition
(Abstract)
Yiming Wu
Xiuwen Liu
Washington Mio
pp. 298-303
ABSTRACT
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Induction, Model Selection and Evaluation
Model Evaluation for Prognostics: Estimating Cost Saving for the End Users
(Abstract)
Chunsheng Yang
Sylvain L?tourneau
pp. 304-309
ABSTRACT
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Rule Refinement with Extended Data Expression
(Abstract)
Jung Min Kong
Dong-Hun Seo
Won Don Lee
pp. 310-315
ABSTRACT
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A Simultaneous Two-Level Clustering Algorithm for Automatic Model Selection
(Abstract)
Guenael Cabanes
Younes Bennani
pp. 316-321
ABSTRACT
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LEONARDO The Computational Intelligence (CI) Model Selection Wizard
(Abstract)
Peter Owotoki
Friedrich Mayer-Lindenberg
pp. 322-329
ABSTRACT
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Control of a Re-Entrant Line Manufacturing Model with a Reinforcement Learning Approach
(Abstract)
Jose A. Ramirez-Hernandez
Emmanuel Fernandez
pp. 330-335
ABSTRACT
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Reinforcement Learning/ Learning from Imbalanced Data/ Bayesian Networks
Supervised Reinforcement Learning Using Behavior Models
(Abstract)
Victor Uc-Cetina
pp. 336-341
ABSTRACT
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Performance Evaluation of EANT in the RoboCup Keepaway Benchmark
(Abstract)
Jan Hendrik Metzen
Mark Edgington
Yohannes Kassahun
Frank Kirchner
pp. 342-347
ABSTRACT
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Learning with Limited Minority Class Data
(Abstract)
Taghi M. Khoshgoftaar
Chris Seiffert
Jason Van Hulse
Amri Napolitano
Andres Folleco
pp. 348-353
ABSTRACT
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Combining Multi-Distributed Mixture Models and Bayesian Networks for Semi-Supervised Learning
(Abstract)
Manuel Stritt
Lars Schmidt-Thieme
Gerhard Poeppel
pp. 354-362
ABSTRACT
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Using Evolutionary Sampling to Mine Imbalanced Data
(Abstract)
Dennis J. Drown
Taghi M. Khoshgoftaar
Ramaswamy Narayanan
pp. 363-368
ABSTRACT
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Learning Bayesian Networks Consistent with the Optimal Branching
(Abstract)
Alexandra M. Carvalho
Arlindo L. Oliveira
pp. 369-374
ABSTRACT
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Unsupervised Learning
Manifold Clustering via Energy Minimization
(Abstract)
Qiyong Guo
Hongyu Li
Wenbin Chen
I-Fan Shen
Jussi Parkkinen
pp. 375-380
ABSTRACT
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Co-Clustering by Similarity Refinement
(Abstract)
Jian Zhang
pp. 381-386
ABSTRACT
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2IBGSOM: Interior and Irregular Boundaries Growing Self-Organizing Maps
(Abstract)
Thouraya Ayadi
Tarek M. Hamdani
Adel M. Alimi
Mohamed A. Khabou
pp. 387-392
ABSTRACT
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Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish Documents
(Abstract)
Bulent Yucesoy
Sule Gunduz Oguducu
pp. 393-398
ABSTRACT
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A Music Recommendation System with a Dynamic K-means Clustering Algorithm
(Abstract)
Dongmoon Kim
Kun-su Kim
Kyo-Hyun Park
Jee-Hyong Lee
Keon Myung Lee
pp. 399-403
ABSTRACT
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Feature Extraction and Selection / Ensemble Learning
Tracking Recurrent Concept Drift in Streaming Data Using Ensemble Classifiers
(Abstract)
Sasthakumar Ramamurthy
Raj Bhatnagar
pp. 404-409
ABSTRACT
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Feature Extraction Using Random Matrix Theory Approach
(Abstract)
Viktoria Rojkova
Mehmed Kantardzic
pp. 410-416
ABSTRACT
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Toward Optimal Selection of Feature Clusters
(Abstract)
Lei Yu
Hao Li
pp. 417-422
ABSTRACT
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A Hierarchical Feature Decomposition Clustering Algorithm for Unsupervised Classification of Document Image Types
(Abstract)
Dean Curtis
Vitaliy Kubushyn
E.A. Yfantis
Michael Rogers
pp. 423-428
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Enhanced Recursive Feature Elimination
(Abstract)
Xue-wen Chen
Jong Cheol Jeong
pp. 429-435
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Application III
Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation
(Abstract)
Johannes Hartz
Bernd Neumann
pp. 436-443
ABSTRACT
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Web-Based Parallel Corpora for Statistical Machine Translation
(Abstract)
Bo Li
Juan Liu
Wenjuan Shi
pp. 444-449
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Uncertainty Optimization for Robust Dynamic Optical Flow Estimation
(Abstract)
Volker Willert
Marc Toussaint
Julian Eggert
Edgar Korner
pp. 450-457
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Direct Calculation of Predictions for K29/K29*
(Abstract)
Brian Burford
pp. 458-463
ABSTRACT
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Learning: An Effective Approach in Endgame Chess Board Evaluation
(Abstract)
Mehdi Samadi
Zohreh Azimifar
Mansour Zolghadri Jahromi
pp. 464-469
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Hybrid Neural Network Based Model for Predicting the Performance of a Two Stroke Spark Ignition Engine
(Abstract)
Mohmad Marouf Wani
M. Arif Wani
pp. 470-475
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Machine Learning Applications in Bioinformatics
Predicting Binding Sites in the Mouse Genome
(Abstract)
Yi Sun
Mark Robinson
Rod Adams
Neil Davey
Alistair Rust
pp. 476-481
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Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer
(Abstract)
Glenn Fung
Renaud. Seigneuric
Sriram Krishnan
R. Bharat Rao
Brad G. Wouters
Philippe Lambin
pp. 482-487
ABSTRACT
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Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study
(Abstract)
Michalis E. Blazadonakis
Michalis Zervakis
pp. 488-493
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Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression
(Abstract)
Daniele Yumi Sunaga
Julio Cesar Nievola
Milton Pires Ramos
pp. 494-499
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Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics
(Abstract)
Bobbie-Jo M. Webb-Robertson
Christopher S. Oehmen
William R. Cannon
pp. 500-505
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Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines
(Abstract)
Amit U. Sinha
Mukta Phatak
Raj Bhatnagar
Anil G. Jegga
pp. 506-511
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Workshop Session: Machine Learning Applications in Biomedicine
Use of Neural Networks to Predict Adverse Outcomes from Acute Coronary Syndrome for Male and Female Patients
(Abstract)
Claire L. McCullough
Andrew J. Novobilski
Francis M. Fesmire
pp. 512-517
ABSTRACT
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The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results
(Abstract)
Janusz Wojtusiak
Ryszard S. Michalski
Thipkesone Simanivanh
Anna V. Baranova
pp. 518-523
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Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
(Abstract)
Sang-Chul Lee
Peter Bajcsy
pp. 524-529
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Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
(Abstract)
Romer Rosales
Praveen Krishnamurthy
R. Bharat Rao
pp. 530-536
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A Statistical Algorithm to Discover Knowledge in Medical Data Sources
(Abstract)
Alexander J. Senf
Carl Leonard
James DeLeo
pp. 537-540
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A Clustering-Based Approach to Predict Outcome in Cancer Patients
(Abstract)
Kai Xing
Dechang Chen
Donald Henson
Li Sheng
pp. 541-546
ABSTRACT
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Workshop Session: Machine Learning Applications in Genomics
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
(Abstract)
Mingzhou (Joe) Song
Robert M. Haralick
Stephane Boissinot
pp. 547-553
ABSTRACT
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CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes
(Abstract)
Kwangmin Choi
Youngik Yang
Sun Kim
pp. 554-559
ABSTRACT
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Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis
(Abstract)
Li Chen
Chen Wang
Ie-Ming Shih
Tian-Li Wang
Zhen Zhang
Yue Wang
Robert Clarke
Eric Hoffman
Jianhua Xuan
pp. 560-566
ABSTRACT
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Generalized Sequence Signatures through Symbolic Clustering
(Abstract)
Dietmar Dorr
Anne Denton
pp. 567-572
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SVMotif: A Machine Learning Motif Algorithm
(Abstract)
Mark A. Kon
Yue Fan
Dustin Holloway
Charles DeLisi
pp. 573-580
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Workshop Session: Machine Learning Applications in Proteomics
Association Learning in SOMs for Fuzzy-Classification
(Abstract)
Thomas Villmann
Frank-Michael Schleif
Martijn van der Werff
Andre Deelder
Rob Tollenaar
pp. 581-586
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SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction
(Abstract)
Ronald C. Taylor
Mudita Singhal
Don S. Daly
Kelly Domico
Amanda M. White
Deanna L. Auberry
Kenneth J. Auberry
Brian Hooker
Greg Hurst
Jason McDermott
W. Hayes McDonald
Dale Pelletier
Denise Schmoyer
William R. Cannon
pp. 587-593
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Alignment of Multiple Proteins with an Ensemble of Hidden Markov Models
(Abstract)
Jia Song
Chunmei Liu
Yinglei Song
Junfeng Qu
Gurdeep S. Hura
pp. 594-599
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Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering
(Abstract)
Dongxiao Zhu
Hua Li
pp. 600-605
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Workshop Session: Machine Learning Applications in Transcriptomics
Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge
(Abstract)
Young-Rae Cho
Xian Xu
Woochang Hwang
Aidong Zhang
pp. 606-611
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Normalized Linear Transform for Cross-Platform Microarray Data Integration
(Abstract)
Huilin Xiong
Ya Zhang
Xue-wen Chen
pp. 612-617
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Logistic Ensembles for Random Spherical Linear Oracles
(Abstract)
Leif E. Peterson
Matthew A. Coleman
pp. 618-623
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Cox's Proportional Hazards Model with
L
p
Penalty for Biomarker Identification and Survival Prediction
(Abstract)
Zhenqiu Liu
pp. 624-628
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Modeling Spatial-Temporal Epidemics Using STBL Model
(Abstract)
Lynne Billard
Duck-Ki Kim
Chan-Hee Lee
Sung Duck Lee
Keon-Myung Lee
Sung -Soo Kim
pp. 629-633
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Author Index
Author Index
(PDF)
pp. 634-638
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