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  • Produktbild: Artificial Intelligence: Methodology, Systems, and Applications
  • Produktbild: Artificial Intelligence: Methodology, Systems, and Applications

Artificial Intelligence: Methodology, Systems, and Applications 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012, Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2012

Abbildungen

XII, 336 p. 92 illus.

Herausgeber

Allan Ramsay + weitere

Verlag

Springer Berlin

Seitenzahl

336

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-33184-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2012

Abbildungen

XII, 336 p. 92 illus.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

336

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-33184-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Artificial Intelligence: Methodology, Systems, and Applications
  • Produktbild: Artificial Intelligence: Methodology, Systems, and Applications

  • 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.