AI 2001: Advances in Artificial Intelligence: 14th International Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001, Proceedings: Lecture Notes in Computer Science, cartea 2256
Editat de Mike Brooks, Dan Corbett, Markus Stumptneren Limba Engleză Paperback – 28 noi 2001
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Specificații
ISBN-13: 9783540429609
ISBN-10: 3540429603
Pagini: 684
Ilustrații: XII, 672 p.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.94 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540429603
Pagini: 684
Ilustrații: XII, 672 p.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.94 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Papers.- A Memetic Pareto Evolutionary Approach to Artificial Neural Networks.- Relating Defeasible and Default Logic.- Resolving Minsky’s Paradox : The d-Dimensional Normal Distribution Case.- Solving Overconstrained Temporal Reasoning Problems.- How the Level of Interchangeability Embedded in a Finite Constraint Satisfaction Problem Affects the Performance of Search.- Towards Learning Naive Physics by Visual Observation: Qualitative Spatial Representations.- Phased Array Sub-beam Optimisation.- Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System.- An Efficient Form Classification Method Using Partial Matching.- Gradient Descent Style Leveraging of Decision Trees and Stumps for Misclassification Cost Performance.- Postdiction Problems in Dynamic Logic.- A Method for Reasoning with Ontologies Represented as Conceptual Graphs.- Selection of Tasks and Delegation of Responsibility in a Multiagent System for Emergent Process Management.- State Minimization Re-visited.- Decidability of Quantifed Propositional Branching Time Logics.- Improved Techniques for an Iris Recognition System with High Performance.- An Investigation of an Adaptive Poker Player.- Acquiring Adaptation Knowledge for CBR with MIKAS.- A Real-Time Region-Based Motion Segmentation Using Adaptive Thresholding and K-Means Clustering.- Automatic Cell Classification in Human’s Peripheral Blood Images Based on Morphological Image Processing.- Formal Concept Analysis for Domain-Specific Document Retrieval Systems.- Learner’s self-assessment: a case study of SVM for information retrieval.- A Semiotic Model of Communication and Its Implications for the Digital City Development.- Simulations for Comparing Knowledge Acquisition and Machine Learning.- Application of Genetic Algorithms tothe Optimisation of Neural Network Configuration for Stock Market Forecasting.- Updating epistemic states.- Fast Text Classification Using Sequential Sampling Processes.- Agents in a Multi-cultural World: Towards Ontological Reconciliation.- Logical Foundations for Reasoning about Trust in Secure Digital Communication.- Phe-Q : A Pheromone Based Q-Learning.- Specification of Kansei Patterns in an Adaptive Perceptual Space.- Embodying the JACK Agent Architecture.- Towards an Ontology of Part-of.- Actions Made Explicit in BDI.- Wrapping Boosters against Noise.- Continuous Temporal Models.- Language and Commonsense Knowledge.- Simulation of Network Security with Collaboration among IDS Models.- Programming Spoken Dialogs Using Grammatical Inference.- Towards Genetic Programming for Texture Classification.- Using Design Information to Identify Structural Software Faults.- The Application of AI to Automatically Generated Animation.- Planning with Noisy Actions (Preliminary Report).- Getting the Job Done in a Hostile Environment.- Solving the Qualification Problem (In the Presence of the Frame Problem).- Dialogue Modelling for a Conversational Agent.- Candidate Elimination Criteria for Lazy Bayesian Rules.- Simplifying the Development of Intelligent Agents.- An Operational Semantics for a PRS-Like Agent Architecture.- A Model of Unconstrained Digit Recognition Based on Hypothesis Testing and Data Reconstruction.- Collecting Quality Data for Database Mining.- Further Pruning for Efficient Association Rule Discovery.- Pattern Discovery in Probabilistic Databases.- The Complexity of Logic Program Updates.- Reasoning with Multimedia Information Using Symbolic Projection.- Invited Contribution.- Confidence Relations as a Basis for Uncertainty Modeling, Plausible Reasoning, and Belief Revision.
Caracteristici
Includes supplementary material: sn.pub/extras