Book One
Contents
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
PDFLearning from Attribute Value Taxonomies and Partially Specified Instances
PDFModified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
PDFExploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
PDFOn the Convergence of Boosting Procedures
PDFSemi-Supervised Learning Using Gaussian Fields and Harmonic Functions
PDFEliminating Class Noise in Large Datasets
PDFOnline Convex Programming and Generalized Infinitesimal Gradient Ascent
PDFLearning Predictive State Representations
PDFWeighted Low-Rank Approximations
PDFLearning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
PDFEvolutionary MCMC Sampling and Optimization in Discrete Spaces
PDFLearning on the Test Data: Leveraging Unseen Features
PDFLow Bias Bagged Support Vector Machines
PDFSimpleSVM
PDFTesting Exchangeability On-Line
PDFModel-based Policy Gradient Reinforcement Learning
PDFLearning Mixture Models with the Latent Maximum Entropy Principle
PDFPrincipled Methods for Advising Reinforcement Learning Agents
PDFDISTILL: Learning Domain-Specific Planners by Example
PDFBayesian Network Anomaly Pattern Detection for Disease Outbreaks
PDFAdaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
PDFNew ν-Support Vector Machines and their Sequential Minimal Optimization
PDFCross-Entropy Directed Embedding of Network Data
PDFDecision-tree Induction from Time-series Data Based on a Standard-example Split Test
PDFOptimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic
PDFFeature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
PDFIsometric Embedding and Continuum ISOMAP
PDFOptimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning
PDFError Bounds for Approximate Policy Iteration
PDFMachine Learning with Hyperkernels
PDFJustification-based Multiagent Learning
PDFMixtures of Conditional Maximum Entropy Models
PDFOnline Feature Selection using Grafting
PDFWeighted Order Statistic Classifiers with Large Rank-Order Margin
PDFRelativized Options: Choosing the Right Transformation
PDFTackling the Poor Assumptions of Naive Bayes Text Classifiers
PDFLearning with Knowledge from Multiple Experts
PDFCombining td-learning with Cascade-correlation Networks
PDFKernel PLS-SVC for Linear and Nonlinear Classification
PDFStochastic Local Search in k-Term DNF Learning
PDFQ-Decomposition for Reinforcement Learning Agents
PDFAdaptive Overrelaxed Bound Optimization Methods
PDFOptimization with EM and Expectation-Conjugate-Gradient
PDFtd(0) Converges Provably Faster than the Residual Gradient Algorithm
PDFOn State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data
PDFText Bundling: Statistics Based Data-Reduction
PDFFlexible Mixture Model for Collaborative Filtering
PDFFinding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
PDFLearning with Idealized Kernels
PDFThe Pre-Image Problem in Kernel Methods
PDFImproving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves
PDFReinforcement Learning as Classification: Leveraging Modern Classifiers
PDFRobust Induction of Process Models from Time-Series Data
PDFThe Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
PDFLearning with Positive and Unlabeled Examples Using Weighted Logistic Regression
PDFLinear Programming Boosting for Uneven Datasets
PDFText Classification Using Stochastic Keyword Generation
PDFA Loss Function Analysis for Classification Methods in Text Categorization
PDFDecision Tree with Better Ranking
PDFAn Evaluation on Feature Selection for Text Clustering
PDFLink-based Classification
PDFHierarchical Latent Knowledge Analysis for Co-occurrence Data
PDFThe Cross Entropy Method for Fast Policy Search
PDFThe Set Covering Machine with Data-Dependent Half-Spaces
PDFIdentifying Predictive Structures in Relational Data Using Multiple Instance Learning
PDFPlanning in the Presence of Cost Functions Controlled by an Adversary
PDFUsing Linear-threshold Algorithms to Combine Multi-class Sub-experts
PDFSolving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations
PDFCorrelated Q-Learning
PDFEdward F. Harrington
PDFGoal-directed Learning to Fly
PDFProbabilistic Classifiers and the Concepts They Recognize
PDFAvoiding Bias when Aggregating Relational Data with Degree Disparity
PDFRong Jin, Rong Yan, Jian Zhang, and Alex G. Hauptmann
PDFTransductive Learning via Spectral Graph Partitioning
PDFEvolving Strategies for Focused Web Crawling
PDFSham Kakade, Michael Kearns, and John Langford
PDFRepresentational Issues in Meta-Learning
PDFMarginalized Kernels Between Labeled Graphs
PDFInformative Discriminant Analysis
PDFCharacteristics of Long-term Learning in Soar and its Application to the Utility Problem
PDFUnsupervised Learning with Permuted Data
PDFDiscriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
PDFA Kernel Between Sets of Vectors
PDFThe Significance of Temporal-Difference Learning in Self-Play Training td-Rummy versus EVO-rummy
PDFVisual Learning by Evolutionary Feature Synthesis
PDFClassification of Text Documents Based on Minimum System Entropy
PDFTractable Bayesian Learning of Tree Augmented Naive Bayes Models
PDFAWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents
PDFBL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
PDFSemi-Supervised Learning of Mixture Models
PDFOn Kernel Methods for Relational Learning
PDFFast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors
PDFRelational Instance Based Regression for Relational Reinforcement Learning
PDFDesign for an Optimal Probe
PDFDiffusion Approximation for Bayesian Markov Chains
PDFUsing the Triangle Inequality to Accelerate k-Means
PDFBayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
PDFAction Elimination and Stopping Conditions for Reinforcement Learning
PDFUtilizing Domain Knowledge in Neuroevolution
PDFBoosting Lazy Decision Trees
PDFRandom Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
PDFThe Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics
PDFAn Analysis of Rule Evaluation Metrics
PDFMargin Distribution and Learning
PDFPerceptron Based Learning with Example Dependent and Noisy Costs
PDFHierarchical Policy Gradient Algorithms
PDFContents, Proceedings of the International Conference on Machine Learning
PDFPreface
PDFICML 2003 Organization
PDFICML 2003 Corporate Sponsors
PDFHidden Markov Support Vector Machines
PDFLearning Distance Functions using Equivalence Relations
PDFOnline Choice of Active Learning Algorithms
PDFLearning Logic Programs for Layout Analysis Correction
PDFMulti-Objective Programming in SVMs
PDFRegression Error Characteristic Curves
PDFChoosing Between Two Learning Algorithms Based on Calibrated Tests
PDFIncorporating Diversity in Active Learning with Support Vector Machines
PDFThe Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
PDF