Conferences in DBLP
Marcus Hutter , Rocco A. Servedio , Eiji Takimoto Editors' Introduction. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum A Theory of Similarity Functions for Learning and Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas G. Dietterich Machine Learning in Ecosystem Informatics. [Citation Graph (0, 0)][DBLP ] Conf ] Masaru Kitsuregawa Challenge for Info-plosion. [Citation Graph (0, 0)][DBLP ] Conf ] Alex J. Smola , Arthur Gretton , Le Song , Bernhard Schölkopf A Hilbert Space Embedding for Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Jürgen Schmidhuber Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity. [Citation Graph (0, 0)][DBLP ] Conf ] John Case , Timo Kötzing , Todd Paddock Feasible Iteration of Feasible Learning Functionals. [Citation Graph (0, 0)][DBLP ] Conf ] John Case , Samuel E. Moelius Parallelism Increases Iterative Learning Power. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjay Jain , Frank Stephan , Nan Ye Prescribed Learning of R.E. Classes. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjay Jain , Frank Stephan Learning in Friedberg Numberings. [Citation Graph (0, 0)][DBLP ] Conf ] Vitaly Feldman , Shrenik Shah , Neal Wadhwa Separating Models of Learning with Faulty Teachers. [Citation Graph (0, 0)][DBLP ] Conf ] César Luis Alonso , José Luis Montaña Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations. [Citation Graph (0, 0)][DBLP ] Conf ] Vikraman Arvind , Johannes Köbler , Wolfgang Lindner Parameterized Learnability of k -Juntas and Related Problems. [Citation Graph (0, 0)][DBLP ] Conf ] M. M. Hassan Mahmud On Universal Transfer Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Yves Audibert , Rémi Munos , Csaba Szepesvári Tuning Bandit Algorithms in Stochastic Environments. [Citation Graph (0, 0)][DBLP ] Conf ] Jussi Kujala , Tapio Elomaa Following the Perturbed Leader to Gamble at Multi-armed Bandits. [Citation Graph (0, 0)][DBLP ] Conf ] Steven Busuttil , Yuri Kalnishkan Online Regression Competitive with Changing Predictors. [Citation Graph (0, 0)][DBLP ] Conf ] Markus Maier , Matthias Hein , Ulrike von Luxburg Cluster Identification in Nearest-Neighbor Graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin L. Chang Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in \mathbb R d [Citation Graph (0, 0)][DBLP ] Conf ] Ryo Yoshinaka Learning Efficiency of Very Simple Grammars from Positive Data. [Citation Graph (0, 0)][DBLP ] Conf ] François Denis , Amaury Habrard Learning Rational Stochastic Tree Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjay Jain , Efim B. Kinber One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Cristina Tîrnauca , Timo Knuutila Polynomial Time Algorithms for Learning k -Reversible Languages and Pattern Languages with Correction Queries. [Citation Graph (0, 0)][DBLP ] Conf ] Lev Reyzin , Nikhil Srivastava Learning and Verifying Graphs Using Queries with a Focus on Edge Counting. [Citation Graph (0, 0)][DBLP ] Conf ] Rika Okada , Satoshi Matsumoto , Tomoyuki Uchida , Yusuke Suzuki , Takayoshi Shoudai Exact Learning of Finite Unions of Graph Patterns from Queries. [Citation Graph (0, 0)][DBLP ] Conf ] Kilho Shin , Tetsuji Kuboyama Polynomial Summaries of Positive Semidefinite Kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Guillaume Stempfel , Liva Ralaivola Learning Kernel Perceptrons on Noisy Data Using Random Projections. [Citation Graph (0, 0)][DBLP ] Conf ] Adam Kowalczyk Continuity of Performance Metrics for Thin Feature Maps. [Citation Graph (0, 0)][DBLP ] Conf ] Takafumi Kanamori Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald Ortner Pseudometrics for State Aggregation in Average Reward Markov Decision Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Vladimir V. V'yugin On Calibration Error of Randomized Forecasting Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] 