Advances in artificial intelligence : 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, Mont[r]éal, Quebec, Canada, May 14 17, 2000 : proceedings
Shranjeno v:
| Korporativna značnica: | |
|---|---|
| Drugi avtorji: | |
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serija: | Lecture notes in computer science. Lecture notes in artificial intelligence
1822 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in artificial intelligence, 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, Montréal, Québec, Canada, May 14-17, 2000, proceedings, [edited by] Howard J. Hamilton, New York, Springer, 2000, 1 volume, Lecture notes in computer science, 3-540-67557-4 • Advances in Artificial Intelligence, Texte imprimé, 9783662185100 |
Kazalo:
- Games / Constraint Satisfaction
- Unifying Single-Agent and Two-Player Search
- Are Bees Better than Fruitflies?
- A Constraint Directed Model for Partial Constraint Satisfaction Problems
- Natural Language I
- Using Noun Phrase Heads to Extract Document Keyphrases
- Expanding the Type Hierarchy with Nonlexical Concepts
- Using Object Influence Areas to Quantitatively Deal with Neighborhood and Perception in Route Descriptions
- An Extendable Natural Language Interface to a Consumer Service Database
- Knowledge Representation
- Identifying and Eliminating Irrelevant Instances Using Information Theory
- Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
- On the Integration of Recursive -Theories
- Natural Language II
- Collocation Discovery for Optimal Bilingual Lexicon Development
- The Power of the TSNLP: Lessons from a Diagnostic Evaluation of a Broad-Coverage Parser
- A Parallel Approach to Unified Cognitive Modeling of Language Processing within a Visual Context
- AI Applications
- Interact: A Staged Approach to Customer Service Automation
- Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine
- The Use of Ontologies and Meta-knowledge to Facilitate the Sharing of Knowledge in a Multi-agent Personal Communication System
- Machine Learning / Data Mining
- ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems
- CViz: An Interactive Visualization System for Rule Induction
- Learning Pseudo-independent Models: Analytical and Experimental Results
- Planning / Theorem Proving / Artificial Life
- Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality
- Scheduling Methods for Parallel Automated Theorem Proving
- Simulating Competing Alife Organisms by Constructive Compound Neural Networks
- Neural Networks
- A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons
- Accelerated Backpropagation Learning: Extended Dynamic Parallel Tangent Optimization Algorithm
- Neural ARX Models and PAC Learning
- Posters
- Qualitative Descriptors and Action Perception
- A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data
- Towards an Automated Citation Classifier
- Typical Example Selection for Learning Classifiers
- Comparative Study of Neural Network Controllers for Nonlinear Dynamic Systems
- The Iterative Multi-agent Method for Solving Complex Search Problems
- Relational Learning with Transfer of Knowledge Between Domains
- Surviving in a Hostile Multi-agent Environment: How Simple Affective States Can Aid in the Competition for Resources
- Task-Structure Based Mediation: The Travel-Planning Assistant Example
- Considerations on Compositional Update Operators
- The Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study
- The Learnability of Naive Bayes
- Invited Presentations
- Parsing to Meaning, Statistically
- Automated Discovery: A Fusion of Multidisciplinary Principles.