Estimating the information potential with the fast gauss transform

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

Volumn 3889 LNCS, Issue , 2006, Pages 82-89

  Han, Seungju ^a   Rao, Sudhir ^a   Principe, Jose ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; ENTROPY; ERROR ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); INFORMATION ANALYSIS; INFORMATION RETRIEVAL; STOCHASTIC CONTROL SYSTEMS;

FAST GAUSS TRANSFORM (FGT); INFORMATION THEORETIC LEARNING (ITL); MINIMUM ERROR ENTROPY; STOCHASTIC INFORMATION GRADIENT;

PARAMETER ESTIMATION;

EID: 33745711563     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_11     Document Type: Conference Paper

References (11)

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