Fitness expectation maximization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5199 LNCS, Issue , 2008, Pages 337-346

  Wierstra, Daan ^a   Schaul, Tom ^a   Peters, Jan ^c   Schmidhuber, Jürgen ^a,b  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; FINITE ELEMENT METHOD; HEALTH; HEURISTIC METHODS; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; HEURISTIC ALGORITHMS; MARKOV PROCESSES;

BLACK BOXES; CANDIDATE SOLUTIONS; EXPECTATION MAXIMIZATIONS; FITNESS LANDSCAPES; FUNCTION OPTIMIZATIONS; HEURISTIC SEARCH METHODS; MARKOVIAN; MULTIMODAL BENCHMARKS; NOVEL METHODS; OBJECTIVE FUNCTIONS; POLE BALANCING; SAMPLE DISTRIBUTIONS; SEARCH POINTS; UNIMODAL;

OPTIMIZATION; ALGORITHMS;

EXPECTATION - MAXIMIZATIONS; EXPECTATION-MAXIMIZATION ALGORITHMS; FUNCTION OPTIMIZATION; HEURISTIC SEARCH METHODS; MULTIMODAL BENCHMARK; OBJECTIVE FUNCTIONS; SAMPLE DISTRIBUTIONS; SOLUTION PARAMETERS;

EID: 56449125944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87700-4_34     Document Type: Conference Paper

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