Conferences in DBLP
David D. Lewis Challenges in Machine Learning for Text Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Leslie Ann Goldberg Analysis of a Simple Learning Algorithm: Learning Foraging Thresholds for Lizards. [Citation Graph (0, 0)][DBLP ] Conf ] Anthony M. Zador , Barak A. Pearlmutter VC Dimension of an Integrate-and-Fire Neuron Model. [Citation Graph (0, 0)][DBLP ] Conf ] Sven Koenig , Yury V. Smirnov Graph Learning with a Nearest Neighbor Approach. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Sean B. Holden PAC-Like Upper Bounds for the Sample Complexity of Leave-one-Out Cross-Validation. [Citation Graph (0, 0)][DBLP ] Conf ] Gábor Lugosi , Márta Pintér A Data-Dependent Skeleton Estimate for Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Joel Ratsaby , Ron Meir , Vitaly Maiorov Towards Robust Model Selection Using Estimation and Approximation Error Bounds. [Citation Graph (0, 0)][DBLP ] Conf ] John Shawe-Taylor , Peter L. Bartlett , Robert C. Williamson , Martin Anthony A Framework for Structural Risk Minimisation. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Baxter A Bayesian/Information Theoretic Model of Bias Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. [Citation Graph (0, 0)][DBLP ] Conf ] Kenji Yamanishi A Randomized Approximation of the MDL for Stochastic Models with Hidden Variables. [Citation Graph (0, 0)][DBLP ] Conf ] V. G. Vovk Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Rakesh D. Barve , Philip M. Long On the Complexity of Learning from Drifting Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Peter L. Bartlett , Shai Ben-David , Sanjeev R. Kulkarni Learning Changing Concepts by Exploiting the Structure of Change. [Citation Graph (0, 0)][DBLP ] Conf ] Wee Sun Lee , Peter L. Bartlett , Robert C. Williamson The Importance of Convexity in Learning with Squared Loss. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence K. Saul , Satinder P. Singh Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards. [Citation Graph (0, 0)][DBLP ] Conf ] Andris Ambainis Probabilistic and Team PFIN-Type Learning: General Properties. [Citation Graph (0, 0)][DBLP ] Conf ] Ganesh Baliga , John Case , Sanjay Jain Synthesizing Enumeration Techniques for Language Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjay Jain , Arun Sharma Elementary Formal Systems, Intrinsic Complexity, and Procrastination. [Citation Graph (0, 0)][DBLP ] Conf ] Dick de Jongh , Makoto Kanazawa Angluin's Theorem for Indexed Families of r.e. Sets and Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Birkendorf , Eli Dichterman , Jeffrey C. Jackson , Norbert Klasner , Hans-Ulrich Simon On Restricted-Focus-of-Attention Learnability of Boolean Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Igal Galperin Analysis of Greedy Expert Hiring and an Application to Memory-Based Learning (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Christino Tamon , David K. Wilson On Learning width Two Branching Programs (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Philip M. Long , Lei Tan PAC Learning Axis-Aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Lisa Hellerstein Attribute-Efficient Learning in Query and Mistake-Bound Models. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Kwek , Leonard Pitt PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Aaron Feigelson , Lisa Hellerstein Learning Conjunctions of Two Unate DNF Formulas (Extended Abstract): Computational and Informational Results. [Citation Graph (0, 0)][DBLP ] Conf ] Eyal Kushilevitz A Simple Algorithm for Learning O(log n)-Term DNF. [Citation Graph (0, 0)][DBLP ] Conf ] Wolfgang Merkle , Frank Stephan Trees and Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Kummer , Matthias Ott Learning Branches and Learning to Win Closed Games. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher D. Rosin , Richard K. Belew A Competitive Approach to Game Learning. [Citation Graph (0, 0)][DBLP ] Conf ] András Antos , Gábor Lugosi Strong Minimax Lower Bounds for Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Erik Ordentlich , Thomas M. Cover On-Line Portfolio Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolò Cesa-Bianchi , David P. Helmbold , Sandra Panizza On Bayes Methods for On-Line Boolean Prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund , Robert E. Schapire Game Theory, On-Line Prediction and Boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Auer , Stephen Kwek , Wolfgang Maass , Manfred K. Warmuth Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] 