Conferences in DBLP
Leslie G. Valiant Rationality. [Citation Graph (0, 0)][DBLP ] Conf ] Terrence J. Sejnowski , Peter Dayan , P. Read Montague Predictive Hebbian Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Kearns , Yishay Mansour , Andrew Y. Ng , Dana Ron An Experimental and Theoretical Comparison of Model Selection Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Dana Ron , Yoram Singer , Naftali Tishby On the Learnability and Usage of Acyclic Probabilistic Finite Automata. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund , Dana Ron Learning to Model Sequences Generated by Switching Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] V. G. Vovk A Game of Prediction with Expert Advice. [Citation Graph (0, 0)][DBLP ] Conf ] David P. Helmbold , Robert E. Schapire Predicting Nearly as Well as the Best Pruning of a Decision Tree. [Citation Graph (0, 0)][DBLP ] Conf ] David P. Helmbold , Yoram Singer , Robert E. Schapire , Manfred K. Warmuth A Comparison of New and Old Algorithms for a Mixture Estimation Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty A Note on Learning Multivariate Polynomials Under the Uniform Distribution (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Kenji Yamanishi Randomized Approximate Aggregating Strategies and Their Applications to Prediction and Discrimination. [Citation Graph (0, 0)][DBLP ] Conf ] Olga Mitina , Nikolai K. Vereshchagin How to Use Expert Advice in the Case when Actual Values of Estimated Events Remain Unknown. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum , Prasad Chalasani , Sally A. Goldman , Donna K. Slonim Learning with Unreliable Boundary Queries. [Citation Graph (0, 0)][DBLP ] Conf ] Tibor Hegedüs Generalized Teaching Dimensions and the Query Complexity of Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Jeffrey C. Jackson Learning DNF over the Uniform Distribution using a Quantum Example Oracle. [Citation Graph (0, 0)][DBLP ] Conf ] Yiqun Lisa Yin Reducing the Number of Queries in Self-Directed Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Ben-David , Nadav Eiron , Eyal Kushilevitz On Self-Directed Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald L. Rivest , Yiqun Lisa Yin Being Taught can be Faster than Asking Questions. [Citation Graph (0, 0)][DBLP ] Conf ] William I. Gasarch , Geoffrey R. Hird Reductions for Learning via Queries. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Stephan Learning via Queries and Oracles. [Citation Graph (0, 0)][DBLP ] Conf ] Kalvis Apsitis , Rusins Freivalds , Carl H. Smith On the Inductive Inference of Real Valued Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Douglas A. Cenzer , William R. Moser Inductive Inference of Functions on the Rationals. [Citation Graph (0, 0)][DBLP ] Conf ] Efim B. Kinber , Frank Stephan Language Learning from Texts: Mind Changes, Limited Memory and Monotonicity (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Christino Tamon , David K. Wilson On Learning Decision Trees with Large Output Domains (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Zhixiang Chen , Scott E. Decatur , Steven Homer On the Learnability of Z n -DNF Formulas (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Yoshifumi Sakai , Eiji Takimoto , Akira Maruoka Proper Learning Algorithm for Functions of k Terms Under Smooth Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Atsuyoshi Nakamura , Naoki Abe On-line Learning of Binary and n -ary Relations over Multi-dimensional Clusters. [Citation Graph (0, 0)][DBLP ] Conf ] H. David Mathias DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching. [Citation Graph (0, 0)][DBLP ] Conf ] Eric B. Baum , Dan Boneh , Charles Garrett On Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Jeong Han Kim , James R. Roche On the Optimal Capacity of Binary Neural Networks: Rigorous Combinatorial Approaches. [Citation Graph (0, 0)][DBLP ] Conf ] Norbert Klasner , Hans-Ulrich Simon From Noise-Free to Noise-Tolerant and from On-line to Batch Learning. [Citation Graph (0, 0)][DBLP ] Conf ] John Shawe-Taylor Sample Sizes for Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Kim L. Blackmore , Robert C. Williamson , Iven M. Y. Mareels , William A. Sethares Online Learning via Congregational Gradient Descent. [Citation Graph (0, 0)][DBLP ] Conf ] Changfeng Wang , Santosh S. Venkatesh Criteria for Specifying Machine Complexity in Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence K. Saul , Satinder P. Singh Markov Decision Processes in Large State Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Jyrki Kivinen , Manfred K. Warmuth The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant. [Citation Graph (0, 0)][DBLP ] Conf ] Kukjin Kang , Jong-Hoon Oh Learning by a Population of Perceptrons. [Citation Graph (0, 0)][DBLP ] Conf ] Roni Khardon , Dan Roth Learning to Reason with a Restricted View. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Baxter Learning Internal Representations. [Citation Graph (0, 0)][DBLP ] Conf ] Baruch Awerbuch , Margrit Betke , Ronald L. Rivest , Mona Singh Piecemeal Graph Exploration by a Mobile Robot (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] David P. Dobkin , Dimitrios Gunopulos Concept Learning with Geometric Hypotheses. [Citation Graph (0, 0)][DBLP ] Conf ] Paul Fischer More or Less Efficient Agnostic Learning of Convex Polygons. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Sally A. Goldman , H. David Mathias Noise-Tolerant Parallel Learning of Geometric Concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Scott E. Decatur , Rosario Gennaro On Learning from Noisy and Incomplete Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Funda Ergün , Ravi Kumar , Ronitt Rubinfeld On Learning Bounded-Width Branching Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Wee Sun Lee , Peter L. Bartlett , Robert C. Williamson On Efficient Agnostic Learning of Linear Combinations of Basis Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Dale Schuurmans , Russell Greiner Sequential PAC Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael P. Perrone , Brian S. Blais Regression NSS: An Alternative to Cross Validation. [Citation Graph (0, 0)][DBLP ] Conf ] Peter L. Bartlett , Philip M. Long More Theorems about Scale-sensitive Dimensions and Learning. [Citation Graph (0, 0)][DBLP ] Conf ] David Haussler , Manfred Opper General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations. [Citation Graph (0, 0)][DBLP ] Conf ] Joel Ratsaby , Santosh S. Venkatesh Learning from a Mixture of Labeled and Unlabeled Examples with Parametric Side Information. [Citation Graph (0, 0)][DBLP ] Conf ] Dan Boneh Learning Using Group Representations (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Dana Ron , Ronitt Rubinfeld Exactly Learning Automata with Small Cover Time. [Citation Graph (0, 0)][DBLP ] Conf ] Javed A. Aslam , Scott E. Decatur Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty Simple Learning Algorithms Using Divide and Conquer. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Ben-David , Leonid Gurvits A Note on VC-Dimension and Measures of Sets of Reals. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen , Haym Hirsh Corrigendum for ``Learnability of Description Logics''. [Citation Graph (0, 0)][DBLP ] Conf ] 