在线阅读:
加载中...
内容提要:
This book constitutes the refereed proceedings of the 15th International Conference on Algorithmic Learning Theory, ALT 2004, held in Padova, Italy in October 2004.
The 29 revised full papers presented together with 5 invited papers and 3 tutorial summaries were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on inductive inference, PAC learning and boosting, statistical supervised learning, online sequence learning, approximate optimization algorithms, logic based learning, and query and reinforcement learning.
目录:
INVITED PAPERS
String Pattern Discovery
Applications of Regularized Least Squares to Classification Problems .
Probabilistic Inductive Logic Programming
Hidden Markov Modelling Techniques for Haplotype Analysis
Learning, Logic, and Probability: A Unified View
REGULAR CONTRIBUTIONS
Inductive Inference
Learning Languages from Positive Data and Negative Counterexamples
Inductive Inference of Term Rewriting Systems from Positive Data
On the Data Consumption Benefits of Accepting Increased Uncertainty
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
PAC Learning and Boosting
Learning r-of-k Functions by Boosting
Boosting Based on Divide and Merge
Learning Boolean Functions in AC0 on Attribute and Classification Noise
Statistical Supervised Learning
Decision Trees: More Theoretical Justification for Practical Algorithms
Application of Classical Nonparametric Predictors to Learning Conditionally I.I.D. Data
Complexity of Pattern Classes and Lipschitz Property
Statistical Analysis of Unlabeled Data
On Kernels, Margins, and Low-Dimensional Mappings
Estimation of the Data Region Using Extreme-Value Distributions
Maximum Entropy Principle in Non-ordered Setting
Universal Convergence of Semimeasures on Individual Random Sequences
Online Sequence Prediction
A Criterion for the Existence of Predictive Complexity for Binary Games
Full Information Game with Gains and Losses
Prediction with Expert Advice by Following the Perturbed Leader for General Weights
On the Convergence Speed of MDL Predictions for Bernoulli Sequences
Aooroximate Optimzation Algorthms
Logic Based Learning
Query and Reinforcement Learning
TUTORIAL PAPERS
Author Index
我来评论这本书