
KI 2012: Advances in Artificial Intelligence
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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.
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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.System requirements
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