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  • Produktbild: Advances in Artificial Intelligence
  • Produktbild: Advances in Artificial Intelligence
Band 2671

Advances in Artificial Intelligence 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003, Proceedings

Aus der Reihe Lecture Notes in Computer Science

99,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2003

Abbildungen

XIV, 642 p.

Herausgeber

Yang Xiang + weitere

Verlag

Springer Berlin

Seitenzahl

642

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

990 g

Auflage

2003

Sprache

Englisch

ISBN

978-3-540-40300-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2003

Abbildungen

XIV, 642 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

642

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

990 g

Auflage

2003

Sprache

Englisch

ISBN

978-3-540-40300-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Artificial Intelligence
  • Produktbild: Advances in Artificial Intelligence
  • Experiences Building a Distributed Sensor Network.- Artificial Intelligence and Human Brain Imaging.- Machine Learning Methods for Computational Proteomics and Beyond.- The Structure Model Interpretation of Wright’s NESS Test.- Answer Formulation for Question-Answering.- Patttern-Based AI Scripting Using ScriptEase.- Enumerating the Preconditions of Agent Message Types.- Monadic Memoization towards Correctness-Preserving Reduction of Search.- Searching Solutions in the Crypto-arithmetic Problems: An Adaptive Parallel Genetic Algorithm Approach.- Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness.- A Graph Based Backtracking Algorithm for Solving General CSPs.- Iterated Robust Tabu Search for MAX-SAT.- Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT.- A Comparison of Consistency Propagation Algorithms in Constraint Optimization.- Discovering Temporal/Causal Rules: A Comparison of Methods.- Selective Transfer of Task Knowledge Using Stochastic Noise.- Efficient Mining of Indirect Associations Using HI-Mine.- Case Authoring from Text and Historical Experiences.- Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.- Negotiating Exchanges of Private Information for Web Service Eligibility.- Post-supervised Template Induction for Dynamic Web Sources.- Summarizing Web Sites Automatically.- Cycle-Cutset Sampling for Bayesian Networks.- Learning First-Order Bayesian Networks.- AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.- Model-Based Least-Squares Policy Evaluation.- DIAGAL: A Tool for Analyzing and Modelling Commitment-Based Dialogues between Agents.- Situation Event Logic for Early Validation of Multi-Agent Systems.- Understanding “Not-Understood”:Towards an Ontology of Error Conditions for Agent Communication.- An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem.- Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design.- A Strategy for Improved Satisfaction of Selling Software Agents in E-Commerce.- Pre-negotiations over Services — A Framework for Evaluation.- Formal Theory for Describing Action Concepts in Terminological Knowledge Bases.- Improving User-Perceived QoS in Mobile Ad Hoc Networks Using Decision Rules Induction.- Risk Neutral Calibration of Classifiers.- Search Bound Strategies for Rule Mining by Iterative Deepening.- Methods for Mining Frequent Sequential Patterns.- Learning by Discovering Conflicts.- Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.- Feature Selection Strategies for Text Categorization.- Learning General Graphplan Memos through Static Domain Analysis.- Classification Automaton and Its Construction Using Learning.- A Genetic K-means Clustering Algorithm Applied to Gene Expression Data.- Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms.- Motion Recognition from Video Sequences.- Noun Sense Disambiguation with WordNet for Software Design Retrieval.- Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget’s Thesaurus.- The Importance of Fine-Grained Cue Phrases in Scientific Citations.- Fuzzy C-Means Clustering of Web Users for Educational Sites.- Re-using Web Information for Building Flexible Domain Knowledge.- A New Inference Axiom for Probabilistic Conditional Independence.- Probabilistic Reasoning for Meal Planning in Intelligent Fridges.- Probabilistic Reasoning in Bayesian Networks: ARelational Database Approach.- Fundamental Issue of Naive Bayes.- The Virtual Driving Instructor Creating Awareness in a Multiagent System.- Multi-attribute Exchange Market: Theory and Experiments.- Agent-Based Online Trading System.- On the Applicability of L-systems and Iterated Function Systems for Grammatical Synthesis of 3D Models.- An Unsupervised Clustering Algorithm for Intrusion Detection.- Dueling CSP Representations: Local Search in the Primal versus Dual Constraint Graph.- A Quick Look at Methods for Mining Long Subsequences.- Back to the Future: Changing the Direction of Time to Discover Causality.- Learning Coordination in RoboCupRescue.- Accent Classification Using Support Vector Machine and Hidden Markov Model.- A Neural Network Based Approach to the Artificial Aging of Facial Images.- Adaptive Negotiation for Agent Based Distributed Manufacturing Scheduling.- Multi-agent System Architecture for Tracking Moving Objects.