Conferences in DBLP
Robert A. Amar , Daniel R. Dooly , Sally A. Goldman , Qi Zhang Multiple-Instance Learning of Real-Valued Data. [Citation Graph (0, 0)][DBLP ] Conf ] Hendrik Blockeel , Jan Struyf Efficient algorithms for decision tree cross-validation. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum , Shuchi Chawla Learning from Labeled and Unlabeled Data using Graph Mincuts. [Citation Graph (0, 0)][DBLP ] Conf ] Michael H. Bowling , Manuela M. Veloso Convergence of Gradient Dynamics with a Variable Learning Rate. [Citation Graph (0, 0)][DBLP ] Conf ] Urszula Chajewska , Daphne Koller , Dirk Ormoneit Learning an Agent's Utility Function by Observing Behavior. [Citation Graph (0, 0)][DBLP ] Conf ] David Choi , Benjamin Van Roy A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Chu , S. Sathiya Keerthi , Chong Jin Ong A Unified Loss Function in Bayesian Framework for Support Vector Regression. [Citation Graph (0, 0)][DBLP ] Conf ] Craig W. Codrington Boosting with Confidence Information. [Citation Graph (0, 0)][DBLP ] Conf ] Nello Cristianini , John Shawe-Taylor , Huma Lodhi Latent Semantic Kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Sanmay Das Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Dearden Structured Prioritised Sweeping. [Citation Graph (0, 0)][DBLP ] Conf ] Alin Dobra , Johannes Gehrke Bias Correction in Classification Tree Construction. [Citation Graph (0, 0)][DBLP ] Conf ] Carlotta Domeniconi , Dimitrios Gunopulos An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos , Geoff Hulten A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Melissa Dominguez , Robert A. Jacobs Visual Development and the Acquisition of Binocular Disparity Sensitivities. [Citation Graph (0, 0)][DBLP ] Conf ] Harris Drucker , Behzad Shahraray , David Gibbon Relevance Feedback using Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Tina Eliassi-Rad , Jude W. Shavlik A Theory-Refinement Approach to Information Extraction. [Citation Graph (0, 0)][DBLP ] Conf ] Yaakov Engel , Shie Mannor Learning Embedded Maps of Markov Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Johannes Fürnkranz Round Robin Rule Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Gärtner , Peter A. Flach WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Geibel Reinforcement Learning with Bounded Risk. [Citation Graph (0, 0)][DBLP ] Conf ] Lise Getoor , Nir Friedman , Daphne Koller , Benjamin Taskar Learning Probabilistic Models of Relational Structure. [Citation Graph (0, 0)][DBLP ] Conf ] Rayid Ghani , Seán Slattery , Yiming Yang Hypertext Categorization using Hyperlink Patterns and Meta Data. [Citation Graph (0, 0)][DBLP ] Conf ] Mohammad Ghavamzadeh , Sridhar Mahadevan Continuous-Time Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew R. Glickman , Katia P. Sycara Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State. [Citation Graph (0, 0)][DBLP ] Conf ] Greg Hamerly , Charles Elkan Bayesian approaches to failure prediction for disk drives. [Citation Graph (0, 0)][DBLP ] Conf ] Marcus Hutter General Loss Bounds for Universal Sequence Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Yuri A. Ivanov , Bruce Blumberg , Alex Pentland Expectation Maximization for Weakly Labeled Data. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Jafari , Amy R. Greenwald , David Gondek , Gunes Ercal On No-Regret Learning, Fictitious Play, and Nash Equilibrium. [Citation Graph (0, 0)][DBLP ] Conf ] Wenxin Jiang Some Theoretical Aspects of Boosting in the Presence of Noisy Data. [Citation Graph (0, 0)][DBLP ] Conf ] Rong Jin , Alexander G. Hauptmann Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims , Nello Cristianini , John Shawe-Taylor Composite Kernels for Hypertext Categorisation. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Kramer , Luc De Raedt Feature Construction with Version Spaces for Biochemical Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Krzysztof Krawiec Pairwise Comparison of Hypotheses in Evolutionary Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Abba Krieger , Chuan Long , Abraham Wyner Boosting Noisy Data. [Citation Graph (0, 0)][DBLP ] Conf ] John D. Lafferty , Andrew McCallum , Fernando C. N. Pereira Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. [Citation Graph (0, 0)][DBLP ] Conf ] John Langford , Matthias Seeger , Nimrod Megiddo An Improved Predictive Accuracy Bound for Averaging Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Patrice Latinne , Marco Saerens , Christine Decaestecker Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing. [Citation Graph (0, 0)][DBLP ] Conf ] Neil D. Lawrence , Bernhard Schölkopf Estimating a Kernel Fisher Discriminant in the Presence of Label Noise. [Citation Graph (0, 0)][DBLP ] Conf ] Wee Sun Lee Collaborative Learning and Recommender Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Michael L. Littman Friend-or-Foe Q-learning in General-Sum Games. [Citation Graph (0, 0)][DBLP ] Conf ] Yufeng Liu , Rosemary Emery , Deepayan Chakrabarti , Wolfram Burgard , Sebastian Thrun Using EM to Learn 3D Models of Indoor Environments with Mobile Robots. [Citation Graph (0, 0)][DBLP ] Conf ] Xavier Llorà , Josep Maria Garrell i Guiu Inducing Partially-Defined Instances with Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Mario Marchand , John Shawe-Taylor Learning with the Set Covering Machine. [Citation Graph (0, 0)][DBLP ] Conf ] Zvika Marx , Ido Dagan , Joachim M. Buhmann Coupled Clustering: a Method for Detecting Structural Correspondence. [Citation Graph (0, 0)][DBLP ] Conf ] Amy McGovern , Andrew G. Barto Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. [Citation Graph (0, 0)][DBLP ] Conf ] Prasanth B. Nair , Arindam Choudhury , Andy J. Keane Some Greedy Algorithms for Sparse Nonlinear Regression. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Y. Ng , Michael I. Jordan Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection. [Citation Graph (0, 0)][DBLP ] Conf ] Ilia Nouretdinov , Thomas Melluish , Volodya Vovk Ridge Regression Confidence Machine. [Citation Graph (0, 0)][DBLP ] Conf ] Athanassios Papagelis , Dimitrios Kalles Breeding Decision Trees Using Evolutionary Techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Dan Pelleg , Andrew W. Moore Mixtures of Rectangles: Interpretable Soft Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Theodore J. Perkins , Andrew G. Barto Lyapunov-Constrained Action Sets for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Precup , Richard S. Sutton , Sanjoy Dasgupta Off-Policy Temporal Difference Learning with Function Approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Soumya Ray , David Page Multiple Instance Regression. [Citation Graph (0, 0)][DBLP ] Conf ] Marko Robnik-Sikonja , Igor Kononenko Comprehensible Interpretation of Relief's Estimates. [Citation Graph (0, 0)][DBLP ] Conf ] Nicholas Roy , Andrew McCallum Toward Optimal Active Learning through Sampling Estimation of Error Reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Antonin Rozsypal , Miroslav Kubat Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Sand , Andrew W. Moore Repairing Faulty Mixture Models using Density Estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Manish Sarkar , Tze-Yun Leong Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. [Citation Graph (0, 0)][DBLP ] Conf ] Makoto Sato , Shigenobu Kobayashi Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Tobias Scheffer , Stefan Wrobel Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Schwabacher , Pat Langley Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. [Citation Graph (0, 0)][DBLP ] Conf ] Paola Sebastiani , Marco Ramoni Clustering Continuous Time Series. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Sebban , Richard Nock , Stéphane Lallich Boosting Neighborhood-Based Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Yevgeny Seldin , Gill Bejerano , Naftali Tishby Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. [Citation Graph (0, 0)][DBLP ] Conf ] Gregory Shakhnarovich , Ran El-Yaniv , Yoram Baram Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. [Citation Graph (0, 0)][DBLP ] Conf ] Bryan Singer , Manuela M. Veloso Learning to Generate Fast Signal Processing Implementations. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Stone , Richard S. Sutton Scaling Reinforcement Learning toward RoboCup Soccer. [Citation Graph (0, 0)][DBLP ] Conf ] Malcolm J. A. Strens , Andrew W. Moore Direct Policy Search using Paired Statistical Tests. [Citation Graph (0, 0)][DBLP ] Conf ] Nigel Tao , Jonathan Baxter , Lex Weaver A Multi-Agent Policy-Gradient Approach to Network Routing. [Citation Graph (0, 0)][DBLP ] Conf ] Franck Thollard Improving Probabilistic Grammatical Inference Core Algorithms with Post-processing Techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Anand Venkataraman A procedure for unsupervised lexicon learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kiri Wagstaff , Claire Cardie , Seth Rogers , Stefan Schrödl Constrained K-means Clustering with Background Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Wiering Reinforcement Learning in Dynamic Environments using Instantiated Information. [Citation Graph (0, 0)][DBLP ] Conf ] Jeremy L. Wyatt Exploration Control in Reinforcement Learning using Optimistic Model Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Eric P. Xing , Michael I. Jordan , Richard M. Karp Feature selection for high-dimensional genomic microarray data. [Citation Graph (0, 0)][DBLP ] Conf ] Bianca Zadrozny , Charles Elkan Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Huajie Zhang , Charles X. Ling Learnability of Augmented Naive Bayes in Nonimal Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Tong Zhang Some Sparse Approximation Bounds for Regression Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Zinkevich , Tucker R. Balch Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. [Citation Graph (0, 0)][DBLP ] Conf ] 