Preface (PDF)

An optimization method for selecting parameters in support vector machines (Abstract)

Conference Committees (PDF)

International Program Committee (PDF)

Machine Learning for Information Management: Some Promising Directions (PDF)

Machine Learning Challenges in Chemoinformatics and Drug Screening and Design (PDF)

Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures (PDF)

Technologies and Solutions for Trend Detection in Public Literature for Biomarker Discovery (PDF)

Large Scale Classification with Support Vector Machine Algorithms (Abstract)

Modifying Kernels Using Label Information Improves SVM Classification Performance (Abstract)

Evolving Kernel Functions for SVMs by Genetic Programming (Abstract)

Sparsity Regularization Path for Semi-Supervised SVM (Abstract)

Improving Gene Expression Programming Performance by Using Differential Evolution (Abstract)

Using Genetic Programming for the Induction of Oblique Decision Trees (Abstract)

Extraction of Minimum Decision Algorithm Using Rough Sets and Genetic Algorithms (Abstract)

Design of Simple Limit Cycles with Recurrent Neural Networks for Oscillatory Control (Abstract)

Multi-Stages Genetic Algorithms: Introducing Temporal Structures to Facilitate Selection of Optimal Evolutionary Paths (Abstract)

A New Ant Evolution Algorithm to Resolve TSP Problem (Abstract)

An Efficient Constraint-Based Closed Set Mining Algorithm (Abstract)

Rare Itemset Mining (Abstract)

Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction (Abstract)

An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules (Abstract)

Clustering Categorical Data Based on Maximal Frequent Itemsets (Abstract)

Learning Algorithms for Grammars of Variable Arity Trees (Abstract)

An Incremental Viterbi Algorithm (Abstract)

Phase Transition and Heuristic Search in Relational Learning (Abstract)

Learning Complex Problem Solving Expertise from Failures (Abstract)

Bias-Variance Tradeoff in Hybrid Generative-Discriminative Models (Abstract)

Combining Active Learning and Relevance Vector Machines for Text Classification (Abstract)

Efficient Label Propagation for Interactive Image Segmentation (Abstract)

An OCR-Independent Character Segmentation Using Shortest-Path in Grayscale Document Images (Abstract)

Boosting Inductive Transfer for Text Classification Using Wikipedia (Abstract)

Discover the Power of Social and Hidden Curriculum to Decision Making: Experiments with Enron Email and Movie Newsgroups (Abstract)

Soft Failure Detection Using Factorial Hidden Markov Models (Abstract)

Memory-Based Context-Sensitive Spelling Correction at Web Scale (Abstract)

Covariance Matrix Computations with Federated Databases (Abstract)

Recognition of Ultrasonic Multi-Echo Sequences for Autonomous Symbolic Indoor Tracking (Abstract)

An Agent Based System for California Electricity Market: A Perspective of Myopic Machine Learning (Abstract)

Predicting Building Contamination Using Machine Learning (Abstract)

Bootstrapping Algorithms for an Application in the Automotive Domain (Abstract)

Estimating Class Probabilities in Random Forests (Abstract)

Effect of Synaptic Weight Assignment on Spiking Neuron Response (Abstract)

A Comparison of Two Algorithms for Predicting the Condition Number (Abstract)

Evolutionary Sound Matching: A Test Methodology and Comparative Study (Abstract)

Learning to Evaluate Conditional Partial Plans (Abstract)

A Spline Based Regression Technique on Interval Valued Noisy Data (Abstract)

A New Time Series Prediction Algorithm Based on Moving Average of <i>n^th</i>-Order Difference (Abstract)

Machine Learned Regression for Abductive DNA Sequencing (Abstract)

Automatic Medical Coding of Patient Records via Weighted Ridge Regression (Abstract)

Constructive Neural Network Ensemble for Regression Tasks in High Dimensional Spaces (Abstract)

Web-Based Maze Robot Learning Using Fuzzy Motion Control System (Abstract)

Web Based Machine Learning for Language Identification and Translation (Abstract)

A Web Based Adaptive Educational System (Abstract)

Dimensionality Reduction for Active Learning with Nearest Neighbour Classifier in Text Categorisation Problems (Abstract)

Scalable Optimal Linear Representation for Face and Object Recognition (Abstract)

Model Evaluation for Prognostics: Estimating Cost Saving for the End Users (Abstract)

Rule Refinement with Extended Data Expression (Abstract)

A Simultaneous Two-Level Clustering Algorithm for Automatic Model Selection (Abstract)

LEONARDO The Computational Intelligence (CI) Model Selection Wizard (Abstract)

Control of a Re-Entrant Line Manufacturing Model with a Reinforcement Learning Approach (Abstract)

Supervised Reinforcement Learning Using Behavior Models (Abstract)

Performance Evaluation of EANT in the RoboCup Keepaway Benchmark (Abstract)

Learning with Limited Minority Class Data (Abstract)

Combining Multi-Distributed Mixture Models and Bayesian Networks for Semi-Supervised Learning (Abstract)

Using Evolutionary Sampling to Mine Imbalanced Data (Abstract)

Learning Bayesian Networks Consistent with the Optimal Branching (Abstract)

Manifold Clustering via Energy Minimization (Abstract)

Co-Clustering by Similarity Refinement (Abstract)

2IBGSOM: Interior and Irregular Boundaries Growing Self-Organizing Maps (Abstract)

Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish Documents (Abstract)

A Music Recommendation System with a Dynamic K-means Clustering Algorithm (Abstract)

Tracking Recurrent Concept Drift in Streaming Data Using Ensemble Classifiers (Abstract)

Feature Extraction Using Random Matrix Theory Approach (Abstract)

Toward Optimal Selection of Feature Clusters (Abstract)

A Hierarchical Feature Decomposition Clustering Algorithm for Unsupervised Classification of Document Image Types (Abstract)

Enhanced Recursive Feature Elimination (Abstract)

Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation (Abstract)

Web-Based Parallel Corpora for Statistical Machine Translation (Abstract)

Uncertainty Optimization for Robust Dynamic Optical Flow Estimation (Abstract)

Direct Calculation of Predictions for K29/K29* (Abstract)

Learning: An Effective Approach in Endgame Chess Board Evaluation (Abstract)

Hybrid Neural Network Based Model for Predicting the Performance of a Two Stroke Spark Ignition Engine (Abstract)

Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming (Abstract)

Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer (Abstract)

Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study (Abstract)

Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression (Abstract)

Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics (Abstract)

Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines (Abstract)

Use of Neural Networks to Predict Adverse Outcomes from Acute Coronary Syndrome for Male and Female Patients (Abstract)

The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results (Abstract)

Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes (Abstract)

Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text (Abstract)

A Statistical Algorithm to Discover Knowledge in Medical Data Sources (Abstract)

A Clustering-Based Approach to Predict Outcome in Cancer Patients (Abstract)

Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming (Abstract)

CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes (Abstract)

Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis (Abstract)

Generalized Sequence Signatures through Symbolic Clustering (Abstract)

SVMotif: A Machine Learning Motif Algorithm (Abstract)

Association Learning in SOMs for Fuzzy-Classification (Abstract)

SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction (Abstract)

Alignment of Multiple Proteins with an Ensemble of Hidden Markov Models (Abstract)

Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering (Abstract)

Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge (Abstract)

Normalized Linear Transform for Cross-Platform Microarray Data Integration (Abstract)

Logistic Ensembles for Random Spherical Linear Oracles (Abstract)

Cox's Proportional Hazards Model with <i>L_p</i> Penalty for Biomarker Identification and Survival Prediction (Abstract)

Modeling Spatial-Temporal Epidemics Using STBL Model (Abstract)

Author Index (PDF)