Ramsay / Agre | Artificial Intelligence: Methodology, Systems, and Applications | E-Book | sack.de
E-Book

E-Book, Englisch, 336 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

Ramsay / Agre Artificial Intelligence: Methodology, Systems, and Applications

15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012, Proceedings
Erscheinungsjahr 2012
ISBN: 978-3-642-33185-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012, Proceedings

E-Book, Englisch, 336 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

ISBN: 978-3-642-33185-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012, held in Varna, Bulgaria in September 2012. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on natural language processing, social networks, knowledge representation and reasoning, machine learning, planning and agents, search, and computer vision.
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Weitere Infos & Material


Experiments with Filtered Detection of Similar Academic Papers.- Corpus-Based Semantic Filtering in Discovering Derivational Relations.- Lexical Activation Area Attachment Algorithm for Wordnet Expansion.- Metaheuristics for Tuning Model Parameters in Two Natural Language Processing Applications.- Clustering a Very Large Number of Textual Unstructured Customers’ Reviews in English.- A Workbench for Temporal Event Information Extraction from Patient Records.- Analyzing Emotional States Induced by News Articles with Latent Semantic Analysis.- The Emergence of Cultural Hierarchical Social Networks in Complex Environments.- Ensuring Relevant and Serendipitous Information Flow in Decentralized Online Social Network.- Ontology-Based Information and Event Extraction for Business Intelligence.- Modelling Highly Symmetrical Molecules: Linking Ontologies and Graphs.- Personalizing and Improving Tag-Based Search in Folksonomies.- Views and Synthesis of Cognitive Maps.- Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Description of Genes.- Automatic Generation and Learning of Finite-State Controllers.- FactForge: Data Service or the Diversity of Inferred Knowledge over LOD.- From Path-Consistency to Global Consistency in Temporal Qualitative Constraint Networks.- Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules.- Swarm Capability of Finding Eigenvalues.- A Study on the Utility of Parametric Uniform Crossover for Adaptation of Crossover Operator.- Decomposition, Merging, and Refinement Approach to Boost Inductive Logic Programming Algorithms.- Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning.- Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds.- Recurrent Neural Identification and an I-Term Direct Adaptive Control of Nonlinear Oscillatory Plant.- TowardsAutomatic Structure Analysis of Digital Musical Content.- Methodology for a New Agent Architecture Based on the MVC Pattern.- An Improved Method of Action Recognition Based on Sparse Spatio-temporal Features.- Echelon Platoon Organisation: A Distributed Approach Based on 2-Spring Virtual Links.- Multi-agent Task Division Learning in Hide-and-Seek Games.- Modeling Actions Based on a Situative Space Model for Recognizing Human Activities.- Management of Urban Parking: An Agent-Based Approach.- Modeling Smart Home Using the Paradigm of Nets within Nets.- Formal Model for Constructing Semantic Expansions of the Search Requests about the Achievements and Failures.- Parallel CHC Algorithm for Solving Dynamic Traveling Salesman Problem Using Many-Core GPU.- Modelling and Recognition of Signed Expressions Using Subunits Obtained by Data–Driven Approach.- Biometrics from Gait Using Feature Value Method.



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