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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2002.
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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.