Conferences in DBLP
Nader H. Bshouty , Thomas R. Hancock , Lisa Hellerstein Learning Boolean Read-Once Formulas with Arbitrary Symmetric and Constant Fan-in Gates. [Citation Graph (0, 0)][DBLP ] Conf ] Zhixiang Chen , Wolfgang Maass On-line Learning of Rectangles. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Kharitonov Cryptographic Lower Bounds for Learnability of Boolean Functions on the Uniform Distribution. [Citation Graph (0, 0)][DBLP ] Conf ] Jyrki Kivinen , Heikki Mannila , Esko Ukkonen Learning Hierarchical Rule Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin J. Lang Random DFA's Can Be Approximately Learned from Sparse Uniform Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Yishay Mansour An O(nlog log n [Citation Graph (0, 0)][DBLP ] Conf ] Mihir Bellare A Technique for Upper Bounding the Spectral Norm with Applications to Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Howard Aizenstein , Leonard Pitt Exact Learning of Read-k Disjoint DNF and Not-So-Disjoint DNF. [Citation Graph (0, 0)][DBLP ] Conf ] Sally A. Goldman , H. David Mathias Learning k -Term DNF Formulas with an Incomplete Membership Oracle. [Citation Graph (0, 0)][DBLP ] Conf ] Michele Flammini , Alberto Marchetti-Spaccamela , Ludek Kucera Learning DNF Formulae Under Classes of Probability Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Santosh S. Venkatesh , Robert R. Snapp , Demetri Psaltis Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier. [Citation Graph (0, 0)][DBLP ] Conf ] Jyh-Han Lin , Jeffrey Scott Vitter A Theory for Memory-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen , Haym Hirsh Learnability of Description Logics. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski , Stephen Muggleton , Stuart J. Russell PAC-Learnability of Determinate Logic Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Hiroki Arimura , Hiroki Ishizaka , Takeshi Shinohara Polynomial Time Inference of a Subclass of Context-Free Transformations. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard E. Boser , Isabelle Guyon , Vladimir Vapnik A Training Algorithm for Optimal Margin Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Don Kimber , Philip M. Long The Learning Complexity of Smooth Functions of a Single Variable. [Citation Graph (0, 0)][DBLP ] Conf ] Ethan Bernstein Absolute Error Bounds for Learning Linear Functions Online. [Citation Graph (0, 0)][DBLP ] Conf ] Kenji Yamanishi Probably Almost Discriminative Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjeev R. Kulkarni , John N. Tsitsiklis , Sanjoy K. Mitter , Ofer Zeitouni PAC Learning With Generalized Samples and an Application to Stochastic Geometry. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Cholak , Efim B. Kinber , Rodney G. Downey , Martin Kummer , Lance Fortnow , Stuart A. Kurtz , William I. Gasarch , Theodore A. Slaman Degrees of Inferability. [Citation Graph (0, 0)][DBLP ] Conf ] John Case , Sanjay Jain , Arun Sharma On Learning Limiting Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Robert P. Daley , Bala Kalyanasundaram , Mahendran Velauthapillai Breaking the Probability 1/2 Barrier in FIN-Type Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Klaus P. Jantke Case-Based Learning in Inductive Inference. [Citation Graph (0, 0)][DBLP ] Conf ] Rolf Wiehagen , Carl H. Smith Generalization versus Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum , Prasad Chalasani Learning Switching Concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Peter L. Bartlett Learning With a Slowly Changing Distribution. [Citation Graph (0, 0)][DBLP ] Conf ] Gyora M. Benedek , Alon Itai Dominating Distributions and Learnability. [Citation Graph (0, 0)][DBLP ] Conf ] Alberto Bertoni , Paola Campadelli , Anna Morpurgo , Sandra Panizza Polynomial Iniform Convergence and Polynomial-Sample Learnability. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin Buescher , P. R. Kumar Learning Stochastic Functions by Smooth Simultaneous Estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Ronny Meir , José F. Fontanari On Learning Noisy Threshold Functions with Finite Precision Weights. [Citation Graph (0, 0)][DBLP ] Conf ] H. Sebastian Seung , Manfred Opper , Haim Sompolinsky Query by Committee. [Citation Graph (0, 0)][DBLP ] Conf ] Yasubumi Sakakibara , Rani Siromoney A Noise Model on Learning Sets of Strings. [Citation Graph (0, 0)][DBLP ] Conf ] Shyam Kapur , Gianfranco Bilardi Language Learning from Stochastic Input. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Anthony , Graham Brightwell , David A. Cohen , John Shawe-Taylor On Exact Specification by Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey Jackson , Andrew Tomkins A Computational Model of Teaching. [Citation Graph (0, 0)][DBLP ] Conf ] Kathleen Romanik Approximate Testing and Learnability. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Ben-David , Nicolò Cesa-Bianchi , Philip M. Long Characterizations of Learnability for Classes of {O, ..., n }-Valued Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Kearns , Robert E. Schapire , Linda Sellie Toward Efficient Agnostic Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Svetlana Anoulova , Paul Fischer , Stefan Pölt , Hans-Ulrich Simon PAB-Decisions for Boolean and Real-Valued Features. [Citation Graph (0, 0)][DBLP ] Conf ] Rusins Freivalds , Carl H. Smith On the Role of Procrastination for Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Steffen Lange , Thomas Zeugmann Types of Monotonic Language Learning and Their Characterization. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund An Improved Boosting Algorithm and Its Implications on Learning Complexity. [Citation Graph (0, 0)][DBLP ] Conf ] David P. Helmbold , Manfred K. Warmuth Some Weak Learning Results. [Citation Graph (0, 0)][DBLP ] Conf ] Neri Merhav , Meir Feder Universal Sequential Learning and Decision from Individual Data Sequences. [Citation Graph (0, 0)][DBLP ] Conf ] Klaus-Uwe Höffgen , Hans-Ulrich Simon Robust Trainability of Single Neurons. [Citation Graph (0, 0)][DBLP ] Conf ] Hava T. Siegelmann , Eduardo D. Sontag On the Computational Power of Neural Nets. [Citation Graph (0, 0)][DBLP ] Conf ] Robert H. Sloan Corrigendum to Types of Noise in Data for Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] 