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Artificial Intelligence and Cognitive Science [[electronic resource] ] : 13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002. Proceedings / / edited by Michael O'Neill, Richard F.E. Sutcliffe, Conor Ryan, Malachy Eaton



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Titolo: Artificial Intelligence and Cognitive Science [[electronic resource] ] : 13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002. Proceedings / / edited by Michael O'Neill, Richard F.E. Sutcliffe, Conor Ryan, Malachy Eaton Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002
Edizione: 1st ed. 2002.
Descrizione fisica: 1 online resource (XII, 252 p.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computers
Artificial Intelligence
Computation by Abstract Devices
Persona (resp. second.): O'NeillMichael <1975->
SutcliffeRichard F.E
RyanConor
EatonMalachy
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Regular Papers -- On the Usefulness of Extracting Syntactic Dependencies for Text Indexing -- Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation -- RADAR: Finding Analogies Using Attributes of Structure -- Classifying Languages Based on Speech Rhythm -- Finding Agents in a Two-Dimensional Boolean STaM -- Neuro-symbolic System for Forecasting Red Tides -- Improved Learning for Hidden Markov Models Using Penalized Training -- Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle -- A System for Multi-agent Information Retrieval -- All There Is to the Mind Is to Have the Right Genes, or, Consciousness as a Form of Genetic Engineering -- Towards Robust Collaborative Filtering -- GVR: A New Genetic Representation for the Vehicle Routing Problem -- An Empirical Comparison of Particle Swarm and Predator Prey Optimisation -- Data Mining Support for Case-Based Collaborative Recommendation -- The Feasibility of Machine Learning for Query Answering — An Experiment in Two Domains -- Meta-knowledge Annotation for Efficient Natural-Language Question-Answering -- Concise Papers -- Financial Time Series Modelling Using Neural Networks: An Assessment of the Utility of a Stacking Methodology -- Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders -- Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit -- How People Compare an Item’s Placement in Two Alternative Categories -- Investigations into Market Index Trading Models Using Evolutionary Automatic Programming -- An Interactive Story Engine -- Coherence, Explanation, and Bayesian Networks -- Combining Case-Based Reasoning and Analogical Reasoning in Software Design -- Combination Methods for Improving the Reliability of Machine Translation Based Cross-Language Information Retrieval -- A System for Music Information Retrieval -- A New Bayesian Network Structure for Classification Tasks -- Evaluating Preference-Based Feedback in Recommender Systems -- Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network -- An Interactive Learning Environment for Knowledge Engineering -- Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses -- A Hybridised GA for the Steiner Minimal Tree Problem -- Speaking Autonomous Intelligent Devices.
Titolo autorizzato: Artificial Intelligence and Cognitive Science  Visualizza cluster
ISBN: 3-540-45750-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465520203316
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Serie: Lecture Notes in Artificial Intelligence ; ; 2464