Conferences in DBLP
Naoki Abe , Hang Li Learning Word Association Norms Using Tree Cut Pair Models. [Citation Graph (0, 0)][DBLP ] Conf ] Aynur Akkus , H. Altay Güvenir K Nearest Neighbor Classification on Feature Projections. [Citation Graph (0, 0)][DBLP ] Conf ] Cesar Bandera , Francisco J. Vico , José Manuel Bravo , Mance E. Harmon , Leemon C. Baird III Residual Q-Learning Applied to Visual Attention. [Citation Graph (0, 0)][DBLP ] Conf ] Eric B. Baum Toward a Model of Mind as a Laissez-Faire Economy of Idiots. [Citation Graph (0, 0)][DBLP ] Conf ] Henrik Boström Theory-Guideed Induction of Logic Programs by Inference of Regular Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Craig Boutilier , Richard Dearden Approximate Value Trees in Structured Dynamic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Justin A. Boyan , Andrew W. Moore Learning Evaluation Functions for Large Acyclic Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher J. C. Burges Simplified Support Vector Decision Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Leonardo Carbonara , Derek H. Sleeman Improving the Efficiency of Knowledge Base Refinement. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana Algorithms and Applications for Multitask Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas G. Dietterich , Michael J. Kearns , Yishay Mansour Applying the Waek Learning Framework to Understand and Improve C4.5. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos , Michael J. Pazzani Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. [Citation Graph (1, 0)][DBLP ] Conf ] Steven K. Donoho , Larry A. Rendell Constructive Induction Using Fragmentary Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Werner Emde , Dietrich Wettschereck Relational Instance-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sean P. Engelson , Moshe Koppel Identifying the Information Contained in a Flawed Theory. [Citation Graph (0, 0)][DBLP ] Conf ] Kazuo J. Ezawa , Moninder Singh , Steven W. Norton Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund , Robert E. Schapire Experiments with a New Boosting Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman , Moisés Goldszmidt Discretizing Continuous Attributes While Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Geibel , Fritz Wysotzki Learning Relational Concepts with Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Patrick Goetz , Shailesh Kumar , Risto Miikkulainen On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew R. Golding , Dan Roth Applying Winnow to Context-Sensitive Spelling Correction. [Citation Graph (0, 0)][DBLP ] Conf ] Sally A. Goldman , Stephen D. Scott A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey J. Gordon , Alberto Maria Segre Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Russell Greiner , Adam J. Grove , Dan Roth Learning Active Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Russell Greiner , Adam J. Grove , Alexander Kogan Exploiting the Omission of Irrelevant Data. [Citation Graph (0, 0)][DBLP ] Conf ] Stephan Grolimund , Jean-Gabriel Ganascia Speeding-up Nearest Neighbour Memories: The Template Tree Case Memory Organisation. [Citation Graph (0, 0)][DBLP ] Conf ] Jukka Hekanaho Background Knowledge in GA-based Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] David P. Helmbold , Robert E. Schapire , Yoram Singer , Manfred K. Warmuth On-Line Portfolio Selection Using Multiplicative Updates. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Ittner , Michael Schlosser Non-Linear Decision Trees - NDT. [Citation Graph (0, 0)][DBLP ] Conf ] Pascal Jappy , Richard Nock , Olivier Gascuel Negative Robust Learning Results from Horn Claus Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Sven Koenig , Reid G. Simmons Passive Distance Learning for Robot Navigation. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi , David Wolpert Bias Plus Variance Decomposition for Zero-One Loss Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Daphne Koller , Mehran Sahami Toward Optimal Feature Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat Second Tier for Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Richard H. Lathrop On the Learnability of the Uncomputable. [Citation Graph (0, 0)][DBLP ] Conf ] Michael L. Littman , Csaba Szepesvári A Generalized Reinforcement-Learning Model: Convergence and Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Huan Liu , Rudy Setiono A Probabilistic Approach to Feature Selection - A Filter Solution. [Citation Graph (1, 0)][DBLP ] Conf ] Sridhar Mahadevan Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rémi Munos A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Oates , Paul R. Cohen Searching for Structure in Multiple Streams of Data. [Citation Graph (0, 0)][DBLP ] Conf ] Seishi Okamoto , Nobuhiro Yugami Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan J. Oliver , Rohan A. Baxter , Chris S. Wallace Unsupervised Learning Using MML. [Citation Graph (0, 0)][DBLP ] Conf ] Mark D. Pendrith , Malcolm R. K. Ryan Actual Return Reinforcement Learning versus Temporal Differences: Some Theoretical and Experimental Results. [Citation Graph (0, 0)][DBLP ] Conf ] M. Alicia Pérez Representing and Learning Quality-Improving Search Control Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Eduardo Pérez , Larry A. Rendell Learning Despite Concept Variation by Finding Structure in Attribute-based Data. [Citation Graph (0, 0)][DBLP ] Conf ] Caroline Ravise , Michèle Sebag An Advanced Evolution Should Not Repeat its Past Errors. [Citation Graph (0, 0)][DBLP ] Conf ] Chandra Reddy , Prasad Tadepalli , Silvana Roncagliolo Theory-guided Empirical Speedup Learning of Goal Decomposition Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Davide Roverso Analogy Access by Mapping Spreading and Abstraction in Large, Multifunctional Knowledge Bases. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Saerens Non Mean Square Error Criteria for the Training of Learning Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Mehran Sahami , Marti A. Hearst , Eric Saund Applying the Multiple Cause Mixture Model to Text Categorization. [Citation Graph (0, 0)][DBLP ] Conf ] Michèle Sebag Delaying the Choice of Bias: A Disjunctive Version Space Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Moninder Singh , Gregory M. Provan Efficient Learning of Selective Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Joe Suzuki Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique. [Citation Graph (0, 0)][DBLP ] Conf ] Prasad Tadepalli , DoKyeong Ok Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function. [Citation Graph (0, 0)][DBLP ] Conf ] Kang Soo Tae , Diane J. Cook Experimental Knowledge Acquisition for Planning. [Citation Graph (0, 0)][DBLP ] Conf ] Sebastian Thrun , Joseph O'Sullivan Discovering Structure in Multiple Learning Tasks: The TC Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ming Ting The Characterisation of Predictive Accuracy and Decision Combination. [Citation Graph (0, 0)][DBLP ] Conf ] Henry Tirri , Petri Kontkanen , Petri Myllymäki Prababilistic Instance-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Chris S. Wallace , Kevin B. Korb , Honghua Dai Causal Discovery via MML. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Widmer Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Wiering , Jürgen Schmidhuber Solving POMDPs with Levin Search and EIRA. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Daniel Zucker , Jean-Gabriel Ganascia Representation Changes for Efficient Learning in Structural Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Heikki Mannila Data Mining and Machine Learning (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore Reinforcement Learning in Factories: The Auton Project (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Vladimir Vapnik Statistical Theory of Generalization (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] 