Algorithmic Learning Theory

18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007. Proceedings

Editors:

ISBN: 978-3-540-75224-0 (Print) 978-3-540-75225-7 (Online)

Table of contents (31 chapters)

previous Page of 2
  1. Front Matter

    Pages -

  2. Editors’ Introduction

    1. No Access

      Book Chapter

      Pages 1-8

      Editors’ Introduction

  3. Invited Papers

    1. No Access

      Book Chapter

      Pages 9-9

      A Theory of Similarity Functions for Learning and Clustering

    2. No Access

      Book Chapter

      Pages 10-11

      Machine Learning in Ecosystem Informatics

    3. No Access

      Book Chapter

      Pages 12-12

      Challenge for Info-plosion

    4. No Access

      Book Chapter

      Pages 13-31

      A Hilbert Space Embedding for Distributions

    5. No Access

      Book Chapter

      Pages 32-33

      Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity

  4. Invited Papers

    1. Inductive Inference

      1. No Access

        Book Chapter

        Pages 34-48

        Feasible Iteration of Feasible Learning Functionals

      2. No Access

        Book Chapter

        Pages 49-63

        Parallelism Increases Iterative Learning Power

      3. No Access

        Book Chapter

        Pages 64-78

        Prescribed Learning of R.E. Classes

      4. No Access

        Book Chapter

        Pages 79-93

        Learning in Friedberg Numberings

  5. Complexity Aspects of Learning

    1. No Access

      Book Chapter

      Pages 94-106

      Separating Models of Learning with Faulty Teachers

    2. No Access

      Book Chapter

      Pages 107-119

      Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations

    3. No Access

      Book Chapter

      Pages 120-134

      Parameterized Learnability of k-Juntas and Related Problems

    4. No Access

      Book Chapter

      Pages 135-149

      On Universal Transfer Learning

  6. Online Learning

    1. No Access

      Book Chapter

      Pages 150-165

      Tuning Bandit Algorithms in Stochastic Environments

    2. No Access

      Book Chapter

      Pages 166-180

      Following the Perturbed Leader to Gamble at Multi-armed Bandits

    3. No Access

      Book Chapter

      Pages 181-195

      Online Regression Competitive with Changing Predictors

  7. Unsupervised Learning

    1. No Access

      Book Chapter

      Pages 196-210

      Cluster Identification in Nearest-Neighbor Graphs

    2. No Access

      Book Chapter

      Pages 211-226

      Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in \({\mathbb R}^d\)

  8. Language Learning

    1. No Access

      Book Chapter

      Pages 227-241

      Learning Efficiency of Very Simple Grammars from Positive Data

previous Page of 2