Advances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 : proceedings
AI 2001 is the 14th in the series of Arti cial Intelligence conferences sponsored by the Canadian Society for Computational Studies of Intelligence/Soci et e - nadienne pour l etude de l intelligence par ordinateur. As was the case last year too, the conference is being held in conjunction with the...
Tallennettuna:
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|---|---|
| Yhteisötekijä: | |
| Muut tekijät: | |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science. Lecture notes in artificial intelligence
2056 |
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
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, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, proceedings, Eleni Stroulia, Stan Matwin (eds.), 2001, Berlin, Springer, 1 volume (XII-366 pages), Lecture notes in computer science, 3-540-42144-0 • Advances in Artificial Intelligence, Texte imprimé, 9783662164044 |
Sisällysluettelo:
- A Case Study for Learning from Imbalanced Data Sets
- A Case Study for Learning from Imbalanced Data Sets
- A Holonic Multi-agent Infrastructure for Electronic Procurement
- A Holonic Multi-agent Infrastructure for Electronic Procurement
- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
- A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
- A Statistical Corpus-Based Term Extractor
- A Statistical Corpus-Based Term Extractor
- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy
- Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy
- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search
- Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search
- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
- Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
- Constraint Programming Lessons Learned from Crossword Puzzles
- Constraint Programming Lessons Learned from Crossword Puzzles
- Constraint-Based Vehicle Assembly Line Sequencing
- Constraint-Based Vehicle Assembly Line Sequencing
- How AI Can Help SE; or: Randomized Search Not Considered Harmful
- How AI Can Help SE; or: Randomized Search Not Considered Harmful
- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
- Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study
- Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study
- Learning about Constraints by Reflection
- Learning about Constraints by Reflection
- Learning Bayesian Belief Network Classifiers: Algorithms and System
- Learning Bayesian Belief Network Classifiers: Algorithms and System
- Local Score Computation in Learning Belief networks
- Local Score Computation in Learning Belief networks
- Personalized Contexts in Help Systems
- Personalized Contexts in Help Systems
- QA-LaSIE: A Natural Language Question answering system
- QA-LaSIE: A Natural Language Question answering system
- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities
- Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities
- Searching for Nacro Operators with Automatically Generated Heuristics
- Searching for Nacro Operators with Automatically Generated Heuristics
- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem
- Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem
- Stacking for Misclassiffication Cost Performance
- Stacking for Misclassiffication Cost Performance
- Stratified Partial-Order Logic Programming
- Stratified Partial-Order Logic Programming
- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction
- The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction
- User Interface Aspects of a Translation Typing System
- User Interface Aspects of a Translation Typing System
- Posters
- A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain
- Agents with Genders for Inventory Planning in E-Management
- Agents with Genders for Inventory Planning in E-Management
- Évaluation d un Système pour le RésuméAutomatique de Documents ÉLectroniques
- Évaluation d un Système pour le Résumé Automatique de Documents ÉLectroniques
- On Obligations, Relativised Obligations, and Bilateral Commitments
- On Obligations, Relativised Obligations, and Bilateral Commitments
- Question Answering Using Unification-Based Grammar
- Question Answering Using Unification-Based Grammar
- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm
- Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm
- The Bottom-Up Freezing: An Approach to Neural Engineering
- The Bottom-Up Freezing: An Approach to Neural Engineering
- The Design and Implementation of an Electronic Lexical Knowledge Base
- The Design and Implementation of an Electronic Lexical Knowledge Base
- Towards a Temporal Extension of Formal Concept analysis
- Towards a Temporal Extension of Formal Concept analysis
- Graduate Symposium Contributions
- Adaptive Representation Methods for Reinforcement Learning
- Imprecise and Uncertain REngineering Information Modeling in Databases
- Incremental Case-Based Reasoning for Classification
- Incremental Case-Based Reasoning for Classification
- Planning Animations Using Cinematography Knowledge
- Planning Animations Using Cinematography Knowledge
- Watching You, Watching Me
- Watching You, Watching Me.