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2013 12th International Conference on Machine Learning and Applications

2012 11th International Conference on Machine Learning and Applications

2011 10th International Conference on Machine Learning and Applications and Workshops

2010 Ninth International Conference on Machine Learning and Applications

Table of Contents

Conference Committees and Reviewers

Improved Fine-Grained Component-Conditional Class Labeling with Active Learning

A Novel Noise Filtering Algorithm for Imbalanced Data

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics

A Study of Smoothing Algorithms for Item Categorization on e-Commerce Sites

From Serve-on-Demand to Serve-on-Need: A Game Theoretic Approach

Autonomous Navigation in Dynamic Environments with Reinforcement Learning and Heuristic

Public Goods Game Simulator with Reinforcement Learning Agents

MMM-PHC: A Particle-Based Multi-Agent Learning Algorithm

An All-at-once Unimodal SVM Approach for Ordinal Classification

Centroid-based Classification Enhanced with Wikipedia

Classification Models with Global Constraints for Ordinal Data

Appearance Based Recognition Using Spatial and Discriminant Influence

Multi-Class Classification Using a New Sigmoid Loss Function for Minimum Classification Error (MCE)

A Multimodel Approach of Complex Systems Identification and Control Using Neural and Fuzzy Clustering Algorithms

Learning Collaborative Behavior by Observation

Heterogeneous Imitation Learning from Demonstrators of Varying Physiology and Skill

Multimodal Parameter-exploring Policy Gradients

Discovering Knowledge Rules with Multi-Objective Evolutionary Computing

How Dependencies Affect the Capability of Several Feature Selection Approaches to Extract the Key Features

A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction

A New Approach to Classification with the Least Number of Features

Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques

A Probabilistic Graphical Model of Quantum Systems

Heuristic Method for Discriminative Structure Learning of Markov Logic Networks

Learning Viewpoint Planning in Active Recognition on a Small Sampling Budget: A Kriging Approach

Model-Based Co-clustering for Continuous Data

Similarity Learning in Nearest Neighbor and Relief Algorithm

An Improved Co-Similarity Measure for Document Clustering

Multilayer Ferns: A Learning-based Approach of Patch Recognition and Homography Extraction

A Binocular Framework for Face Liveness Verification under Unconstrained Localization

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

Modeling and Training Radial Basis Functions with Integrate-and-Fire Neurons

Multiple Kernel Learning by Conditional Entropy Minimization

Kernel-based Approaches for Collaborative Filtering

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework

Validating Meronymy Hypotheses with Support Vector Machines and Graph Kernels

Improved Unsupervised Clustering over Watershed-Based Clustering

Pairwise Constrained Clustering with Group Similarity-Based Patterns

Parallel Projections for Manifold Learning

Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds

Identification of Transcriptional Regulatory Networks by Learning the Marginal Function of Outlier Sum Statistic

Computational Analysis of Muscular Dystrophy Sub-types Using a Novel Integrative Scheme

A Classification Approach for Risk Prognosis of Patients on Mechanical Ventricular Assistance

Neuropathic Pain Scale Based Clustering for Subgroup Analysis in Pain Medicine

Parallel Training of a Back-Propagation Neural Network Using CUDA

Support Vector Machines on GPU with Sparse Matrix Format

Space Partitioning for Scalable K-Means

Speeding Up Greedy Forward Selection for Regularized Least-Squares

Clustering High-frequency Stock Data for Trading Volatility Analysis

Plant Species Classification Using a 3D LIDAR Sensor and Machine Learning

Generalized Data Field and its Application for Facial Expression Recognition

Detecting Quasars in Large-Scale Astronomical Surveys

Boosted Dynamic Cognitive Activity Recognition from Brain Images

Boosting Multi-Task Weak Learners with Applications to Textual and Social Data

The Upper and Lower Bounds of the Prediction Accuracies of Ensemble Methods for Binary Classification

Evolutionary Selection of Regressional Predictors to Enhance the Performance of Microfossil-Based Paleotemperture Proxies

Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems

Multi-Agent Inverse Reinforcement Learning

Ensembles of Neural Networks for Robust Reinforcement Learning

Enhancing Inference in Relational Reinforcement Learning Via Truth Maintenance Systems

Learning Bayesian Networks for Improved Instruction Cache Analysis

Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures

Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets

Incremental kNN Classifier Exploiting Correct-Error Teacher for Activity Recognition

Incremental Learning of Relational Action Rules

On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem

On-line, Incremental Learning for Real-Time Vision Based Movement Recognition

Building a Biomedical Tokenizer Using the Token Lattice Design Pattern and the Adapted Viterbi Algorithm

A Structural SVM Approach for Reference Parsing

A System for De-identifying Medical Message Board Text

Improving a Gold Standard: Treating Human Relevance Judgments of MEDLINE Document Pairs

Identifying Abbreviation Definitions Machine Learning with Naturally Labeled Data

A Parallel Algorithm for Predicting the Secondary Structure of Polycistronic MicroRNAs

A Heuristic Algorithm for Finding the Longest Pathways in a Biochemical Network

Using Randomised Vectors in Transcription Factor Binding Site Predictions

Automatic Detection of HIV Drug Resistance-Associated Mutations

Selection of Classifier and Feature Selection Method for Microarray Data

Smoothing Gene Expression Using Biological Networks

Non-Alignment Features Based Enzyme/Non-Enzyme Classification Using an Ensemble Method

Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems

Incremental Nyström Low-Rank Decomposition for Dynamic Learning

Dynamic Decision Method Based on Contextual Selection of Representation Subspaces

On Dynamic Selection of the Most Informative Samples in Classification Problems

A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination

Improving Premise Structure in Evolving Takagi-Sugeno Neuro-Fuzzy Classifiers

Learning to Be a Good Tour-Guide Robot

Self-Optimizing a Clustering-based Tag Recommender for Social Bookmarking Systems

Autonomous Clustering Characterization for Categorical Data

Extreme Volume Detection for Managed Print Services

Predicting Remaining Useful Life Based on the Failure Time Data with Heavy-Tailed Behavior and User Usage Patterns Using Proportional Hazards Model

Semi-Automatic WordNet Based Emotion Dictionary Construction

Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set

Interestingness Detection in Sports Audio Broadcasts

Feature Selection in Clustering with Constraints: Application to Active Exploration of Music Collections

Prediction of Time-Varying Musical Mood Distributions Using Kalman Filtering

Multi-view Clustering of Visual Words Using Canonical Correlation Analysis for Human Action Recognition

Energy Production and Economic Growth: A Causality Analaysis for Turkey Based on Computer

Control of Doubly-Fed Induction Generator System Using PIDNNs

Modelling Turkey's Energy Consumption Based on Artificial Neural Network

Wind Speed Forecasting Based on Second Order Blind Identification and Autoregressive Model

DC Bus Voltage Regulation of an Active Power Filter Using a Fuzzy Logic Controller

Hardware Implementation of a Real-Time Neural Network Controller Set for Reactive Power Compensation Systems

The Personal Assessment Tool: A System Providing Environmental Feedback to Users of Shared Printers for Providing Environmental Feedback

Determination of Vocational Fields with Machine Learning Algorithm

Determining Suitability of Locations for Installation of Solar Power Station Based on Probabilistic Inference

A New Prediction Based Digital Control DC-DC Converter

Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings

Predicting Local Failure in Lung Cancer Using Bayesian Networks

Using a Bayesian Feature-selection Algorithm to Identify Dose-response Models Based on the Shape of the 3D Dose-distribution: An Example from a Head-and-neck Cancer Trial

Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy

Automatic Segmentation of the Prostate Using a Genetic Algorithm for Prostate Cancer Treatment Planning

A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning

Bayesian Inferences and Forecasting in Spatial Time Series Models

Consensus Feature Ranking in Datasets with Missing Values

Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces

Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering

Aggregating Multiple Biological Measurements Per Patient

Empowering Simultaneous Feature and Instance Selection in Classification Problems through the Adaptation of Two Selection Algorithms

Feature Transformation and Model Design Using Minimum Classification Error

On the Scalability of Supervised Learners in Metagenomics

On Estimation of Quantiles for Pairwise Distances

Overcoming Alpha-Beta Limitations Using Evolved Artificial Neural Networks

A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence

Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data

Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets

Novel Approach for Test Methods Automatic Selection in Product Reliability: Improved Method for Acquiring Part-Whole Relation

System Identification with Multi-Agent-based Evolutionary Computation Using a Local Optimization Kernel

Power Iteration Denoising

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing

Domain Adaptation in Sentiment Classification

The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization

Nonlinear Dynamical Multi-Scale Model of Associative Memory

Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering

A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets

Deep Spatiotemporal Feature Learning with Application to Image Classification

Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing

Neuro-Fuzzy Function Approximations Using Feedforward Networks - An Application of Sigmoidal Signal

Boolean Factor Analysis for Data Preprocessing in Machine Learning

Classification of Live Moths Combining Texture, Color and Shape Primitives

Unsupervised and Online Update of Boosted Temporal Models: The UAL2Boost

Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series

Predicting End-to-end Network Load

Pre-image Problem in Manifold Learning and Dimensional Reduction Methods

Spatial Based Feature Generation for Machine Learning Based Optimization Compilation

Variable Selection: A Statistical Dependence Perspective

An Optimal Regression Algorithm for Piecewise Functions Expressed as Object-Oriented Programs

Robust Learning for Adaptive Programs by Leveraging Program Structure

A Relative Tendency Based Stock Market Prediction System

Constrained Nonnegative Tensor Factorization for Clustering

Automatic Synonym and Phrase Replacement Show Promise for Style Transformation

Query Expansion for UMLS Metathesaurus Disambiguation Based on Automatic Corpus Extraction

A Bayesian Nonparametric Model for Joint Relation Integration and Domain Clustering

Discovering and Counting Biomedical Verbs

Peptide Sequence Tag-Based Blind Identification-based SVM Model

A Framework for Comprehensive Electronic QA in Radiation Therapy

Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection

A Textual Representation Scheme for Identifying Clinical Relationships in Patient Records

The Design and Application of the Public Booking Service System

Unsupervised Speaker Clustering in a Linear Discriminant Subspace

Speaker Clustering Using Trails in Feature Space

Sequential Data Clustering

2009 International Conference on Machine Learning and Applications

2008 Seventh International Conference on Machine Learning and Applications

Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

2006 5th International Conference on Machine Learning and Applications (ICMLA'06)

Fourth International Conference on Machine Learning and Applications (ICMLA'05)

2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

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