LEADER 05072nam 22006375 450 001 996465520203316 005 20230726220813.0 010 $a3-540-45750-X 024 7 $a10.1007/3-540-45750-X 035 $a(CKB)1000000000211852 035 $a(SSID)ssj0000321408 035 $a(PQKBManifestationID)11212672 035 $a(PQKBTitleCode)TC0000321408 035 $a(PQKBWorkID)10279468 035 $a(PQKB)10915500 035 $a(DE-He213)978-3-540-45750-3 035 $a(MiAaPQ)EBC3072118 035 $a(PPN)155190172 035 $a(EXLCZ)991000000000211852 100 $a20121227d2002 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Intelligence and Cognitive Science$b[electronic resource] $e13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002. Proceedings /$fedited by Michael O'Neill, Richard F.E. Sutcliffe, Conor Ryan, Malachy Eaton 205 $a1st ed. 2002. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2002. 215 $a1 online resource (XII, 252 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2464 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-44184-0 320 $aIncludes bibliographical references and index. 327 $aRegular 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. 410 0$aLecture Notes in Artificial Intelligence ;$v2464 606 $aArtificial intelligence 606 $aComputers 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aArtificial intelligence. 615 0$aComputers. 615 14$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 676 $a006.3 702 $aO'Neill$b Michael$f1975-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSutcliffe$b Richard F.E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRyan$b Conor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEaton$b Malachy$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aIrish Conference on Artificial Intelligence and Cognitive Science 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465520203316 996 $aArtificial Intelligence and Cognitive Science$92072173 997 $aUNISA