Algorithmic Learning Theory 13th International Conference, ALT 2002, Lübeck, Germany, November 24-26, 2002, Proceedings /

This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ¨ eck (Germany) during November 24-26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Cesa-Bianchi, Nicolò (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Numao, Masayuki (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Reischuk, Rüdiger (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
Έκδοση:1st ed. 2002.
Σειρά:Lecture Notes in Artificial Intelligence ; 2533
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Editors' Introduction
  • Editors' Introduction
  • Invited Papers
  • Mathematics Based on Learning
  • Data Mining with Graphical Models
  • On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum
  • In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project
  • Learning Structure from Sequences, with Applications in a Digital Library
  • Regular Contributions
  • On Learning Monotone Boolean Functions under the Uniform Distribution
  • On Learning Embedded Midbit Functions
  • Maximizing Agreements and CoAgnostic Learning
  • Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
  • Large Margin Classification for Moving Targets
  • On the Smallest Possible Dimension and the Largest Possible Margin of Linear Arrangements Representing Given Concept Classes Uniform Distribution
  • A General Dimension for Approximately Learning Boolean Functions
  • The Complexity of Learning Concept Classes with Polynomial General Dimension
  • On the Absence of Predictive Complexity for Some Games
  • Consistency Queries in Information Extraction
  • Ordered Term Tree Languages which Are Polynomial Time Inductively Inferable from Positive Data
  • Reflective Inductive Inference of Recursive Functions
  • Classes with Easily Learnable Subclasses
  • On the Learnability of Vector Spaces
  • Learning, Logic, and Topology in a Common Framework
  • A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning
  • Minimised Residue Hypotheses in Relevant Logic
  • Compactness and Learning of Classes of Unions of Erasing Regular Pattern Languages
  • A Negative Result on Inductive Inference of Extended Pattern Languages
  • RBF Neural Networks and Descartes' Rule of Signs
  • Asymptotic Optimality of Transductive Confidence Machine
  • An Efficient PAC Algorithm for Reconstructing a Mixture of Lines
  • Constraint Classification: A New Approach to Multiclass Classification
  • How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution
  • Classification with Intersecting Rules
  • Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control.