ALT B

32 papers

YearTitle / Authors
2007A Hilbert Space Embedding for Distributions.
Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf
2007A Theory of Similarity Functions for Learning and Clustering.
Avrim Blum
2007Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings
Marcus Hutter, Rocco A. Servedio, Eiji Takimoto
2007Challenge for Info-plosion.
Masaru Kitsuregawa
2007Cluster Identification in Nearest-Neighbor Graphs.
Markus Maier, Matthias Hein, Ulrike von Luxburg
2007Continuity of Performance Metrics for Thin Feature Maps.
Adam Kowalczyk
2007Editors' Introduction.
Marcus Hutter, Rocco A. Servedio, Eiji Takimoto
2007Exact Learning of Finite Unions of Graph Patterns from Queries.
Rika Okada, Satoshi Matsumoto, Tomoyuki Uchida, Yusuke Suzuki, Takayoshi Shoudai
2007Feasible Iteration of Feasible Learning Functionals.
John Case, Timo Kötzing, Todd Paddock
2007Following the Perturbed Leader to Gamble at Multi-armed Bandits.
Jussi Kujala, Tapio Elomaa
2007Learning Efficiency of Very Simple Grammars from Positive Data.
Ryo Yoshinaka
2007Learning Kernel Perceptrons on Noisy Data Using Random Projections.
Guillaume Stempfel, Liva Ralaivola
2007Learning Rational Stochastic Tree Languages.
François Denis, Amaury Habrard
2007Learning and Verifying Graphs Using Queries with a Focus on Edge Counting.
Lev Reyzin, Nikhil Srivastava
2007Learning in Friedberg Numberings.
Sanjay Jain, Frank Stephan
2007Machine Learning in Ecosystem Informatics.
Thomas G. Dietterich
2007Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability.
Takafumi Kanamori
2007Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in \mathbb
Kevin L. Chang
2007On Calibration Error of Randomized Forecasting Algorithms.
Vladimir V. V'yugin
2007On Universal Transfer Learning.
M. M. Hassan Mahmud
2007One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples.
Sanjay Jain, Efim B. Kinber
2007Online Regression Competitive with Changing Predictors.
Steven Busuttil, Yuri Kalnishkan
2007Parallelism Increases Iterative Learning Power.
John Case, Samuel E. Moelius
2007Parameterized Learnability of
Vikraman Arvind, Johannes Köbler, Wolfgang Lindner
2007Polynomial Summaries of Positive Semidefinite Kernels.
Kilho Shin, Tetsuji Kuboyama
2007Polynomial Time Algorithms for Learning
Cristina Tîrnauca, Timo Knuutila
2007Prescribed Learning of R.E. Classes.
Sanjay Jain, Frank Stephan, Nan Ye
2007Pseudometrics for State Aggregation in Average Reward Markov Decision Processes.
Ronald Ortner
2007Separating Models of Learning with Faulty Teachers.
Vitaly Feldman, Shrenik Shah, Neal Wadhwa
2007Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity.
Jürgen Schmidhuber
2007Tuning Bandit Algorithms in Stochastic Environments.
Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári
2007Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations.
César Luis Alonso, José Luis Montaña