Algorithmic Learning Theory 16th International Conference, ALT 2005, Singapore, October 8-11, 2005. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Jain, Sanjay (Επιμελητής έκδοσης), Simon, Hans Ulrich (Επιμελητής έκδοσης), Tomita, Etsuji (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3734
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Editors’ Introduction
  • Editors’ Introduction
  • Invited Papers
  • Invention and Artificial Intelligence
  • The Arrowsmith Project: 2005 Status Report
  • The Robot Scientist Project
  • Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources
  • Training Support Vector Machines via SMO-Type Decomposition Methods
  • Kernel-Based Learning
  • Measuring Statistical Dependence with Hilbert-Schmidt Norms
  • An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
  • Learning Causal Structures Based on Markov Equivalence Class
  • Stochastic Complexity for Mixture of Exponential Families in Variational Bayes
  • ACME: An Associative Classifier Based on Maximum Entropy Principle
  • Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors
  • On Computability of Pattern Recognition Problems
  • PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
  • Learnability of Probabilistic Automata via Oracles
  • Learning Attribute-Efficiently with Corrupt Oracles
  • Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution
  • Learning of Elementary Formal Systems with Two Clauses Using Queries
  • Gold-Style and Query Learning Under Various Constraints on the Target Class
  • Non U-Shaped Vacillatory and Team Learning
  • Learning Multiple Languages in Groups
  • Inferring Unions of the Pattern Languages by the Most Fitting Covers
  • Identification in the Limit of Substitutable Context-Free Languages
  • Algorithms for Learning Regular Expressions
  • A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data
  • Absolute Versus Probabilistic Classification in a Logical Setting
  • Online Allocation with Risk Information
  • Defensive Universal Learning with Experts
  • On Following the Perturbed Leader in the Bandit Setting
  • Mixture of Vector Experts
  • On-line Learning with Delayed Label Feedback
  • Monotone Conditional Complexity Bounds on Future Prediction Errors
  • Non-asymptotic Calibration and Resolution
  • Defensive Prediction with Expert Advice
  • Defensive Forecasting for Linear Protocols
  • Teaching Learners with Restricted Mind Changes.