000 | 04846nam a22004695i 4500 | ||
---|---|---|---|
001 | 978-3-540-45486-1 | ||
003 | DE-He213 | ||
005 | 20160624102003.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2000 gw | s |||| 0|eng d | ||
020 |
_a9783540454861 _9978-3-540-45486-1 |
||
024 | 7 |
_a10.1007/3-540-45486-1 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aAdvances in Artificial Intelligence _h[electronic resource] : _b13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000 Montéal, Quebec, Canada, May 14–17, 2000 Proceedings / _cedited by Howard J. Hamilton. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2000. |
|
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2000. |
|
300 |
_aXI, 448 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v1822 |
|
505 | 0 | _aGames / 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. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aHamilton, Howard J. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540675570 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v1822 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/3-540-45486-1 |
942 |
_2EBK5403 _cEBK |
||
999 |
_c34697 _d34697 |