Self-organizing maps for multi-objective Pareto Frontiers

IEEE Pacific Visualization Symposium

Volumn , Issue , 2013, Pages 153-160

  Chen, Shahar ^a   Amid, David ^a   Shir, Ofer M ^a   Limonad, Lior ^a   Boaz, David ^a   Anaby Tavor, Ateret ^a   Schreck, Tobias ^b  

^a IBM RESEARCH   (United States)

^b UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Computing Methodologies : Machine Learning Machine Learning Approaches Neural Networks; Human Centered Computing : Visualization Visualization Design and Evaluation Methods; Information Systems : Information Systems Applications Decision Support Systems

Indexed keywords

COMPREHENSIVE ANALYSIS; CONFLICTING OBJECTIVES; CONSISTENT ORIENTATIONS; INFORMATION SYSTEMS APPLICATION; MACHINE LEARNING APPROACHES; MULTI-OBJECTIVE PROBLEM; VISUAL REPRESENTATIONS; VISUALIZATION DESIGNS;

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; DECISION MAKING; DECISION SUPPORT SYSTEMS; INFORMATION SYSTEMS; LEARNING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; VISUALIZATION;

GROUND VEHICLE PARTS AND EQUIPMENT;

EID: 84889069849     PISSN: 21658765     EISSN: 21658773     Source Type: Conference Proceeding    
DOI: 10.1109/PacificVis.2013.6596140     Document Type: Conference Paper

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