Common substructure learning of multiple graphical Gaussian models

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

Volumn 6912 LNAI, Issue PART 2, 2011, Pages 1-16

  Hara, Satoshi ^a   Washio, Takashi ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

block coordinate descent; common substructure; Graphical Gaussian Model

Indexed keywords

ANOMALY DETECTION; COMMON SUBSTRUCTURE; COORDINATE DESCENT; DATA GENERATION; DATA SETS; DEPENDENCY STRUCTURES; ENGINEERING FIELDS; ENGINEERING SYSTEMS; GAUSSIAN MODEL; NONSTATIONARY; QUADRATIC KNAPSACK PROBLEMS; REAL-WORLD DATASETS; STRUCTURE LEARNING ALGORITHM; SUB-PROBLEMS; SUB-SYSTEMS; UNDERLYING MECHANISM;

ECHO SUPPRESSION; GAUSSIAN DISTRIBUTION; INTEGER PROGRAMMING; INVARIANCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; SENSORS;

MODELS;

EID: 80052394814     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23783-6_1     Document Type: Conference Paper

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