KI 2012: Advances in Artificial Intelligence

35th Annual German Conference on AI, Saarbrücken, Germany, September 24-27, 2012, Proceedings

AvBirte Glimm,Antonio Krüger

Häftad, Engelska, 2012

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 35th Annual German Conference on Artificial Intelligence, KI 2012, held in Saarbrücken, Germany, in September 2012. The 19 revised full papers presented together with 9 short papers were carefully reviewed and selected from 57 submissions. The papers contain research results on theory and applicaiton of all aspects of AI.

Produktinformation

Utgivningsdatum:2012-08-15
Mått:155 x 235 x 16 mm
Vikt:435 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:267
Upplaga:2012
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642333460

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Verification of Behaviour Networks Using Finite-State Automata.- Formal Semantics of Model Fields in Annotation-Based Specifications.- Searching with Partial Belief States in General Games with Incomplete Information.- A Machine-Learning Framework for Hybrid Machine Translation.-Using Equivalences of Worlds for Aggregation Semantics of Relational Conditionals.- Developing of a Multimodal Interactive Training System in Therapeutic Calisthenics for Elderly People.- PAC-Learning with General Class Noise Models.- Avoiding Moving Persons by Using Simple Trajectory Prediction and Spatio Temporal Planning.- Unsupervised Nearest Neighbors with Kernels.- A Compact Encoding of Pseudo-Boolean Constraints into SAT.- Small Talk Is More than Chit-Chat: Exploiting Structures of Casual Conversations for a Virtual Agent.- Clustering Based on Density Estimation with Sparse Grids.- A Comparison between Cognitive and AI Models of Blackjack Strategy Learning.- Plan Recognition by Program Execution in Continuous TemporalDomains.- Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data.- Nogoods in Qualitative Constraint-Based Reasoning.- Stochastic Gradient Descent with GPGPU.- Improved Query Suggestion by Query Search.- Knowledge-Base Revision Using Implications as Hypotheses.- Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation.- Supporting Fuzzy Metric Temporal Logic Based Situation Recognition by Mean Shift Clustering.- Ontology-Based Information Extraction for French Newspaper Articles.- Semantic Approach to Identity in Coreference Resolution Task.- Matching Points of Interest from Different Social Networking Sites.- Semi-analytic Natural Number Series Induction.- Dependency Parsing with Efficient Feature Extraction.- Strategies for Modelling Human Behaviour for Activity Recognition with Precondition-Effect Rules.- Gated Boosting: Efficient Classifier Boosting and Combining.Formal Semantics of Model Fields in Annotation-Based Specifications.- Searching with Partial Belief States in General Games with Incomplete Information.- A Machine-Learning Framework for Hybrid Machine Translation.-Using Equivalences of Worlds for Aggregation Semantics of Relational Conditionals.- Developing of a Multimodal Interactive Training System in Therapeutic Calisthenics for Elderly People.- PAC-Learning with General Class Noise Models.- Avoiding Moving Persons by Using Simple Trajectory Prediction and Spatio Temporal Planning.- Unsupervised Nearest Neighbors with Kernels.- A Compact Encoding of Pseudo-Boolean Constraints into SAT.- Small Talk Is More than Chit-Chat: Exploiting Structures of Casual Conversations for a Virtual Agent.- Clustering Based on Density Estimation with Sparse Grids.- A Comparison between Cognitive and AI Models of Blackjack Strategy Learning.- Plan Recognition by Program Execution in Continuous Temporal Domains.- Modeling Human Motion Trajectories by Sparse Activation of Motion PrimitivesLearned from Unpartitioned Data.- Nogoods in Qualitative Constraint-Based Reasoning.- Stochastic Gradient Descent with GPGPU.- Improved Query Suggestion by Query Search.- Knowledge-Base Revision Using Implications as Hypotheses.- Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation.- Supporting Fuzzy Metric Temporal Logic Based Situation Recognition by Mean Shift Clustering.- Ontology-Based Information Extraction for French Newspaper Articles.- Semantic Approach to Identity in Coreference Resolution Task.- Matching Points of Interest from Different Social Networking Sites.- Semi-analytic Natural Number Series Induction.- Dependency Parsing with Efficient Feature Extraction.- Strategies for Modelling Human Behaviour for Activity Recognition with Precondition-Effect Rules.- Gated Boosting: Efficient Classifier Boosting and Combining.