Adaptive design of experiments based on gaussian processes

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

Volumn 9047, Issue , 2015, Pages 116-125

  Burnaev, Evgeny ^a,b,c   Panov, Maxim ^a,b,c  

^a INSTITUTE FOR INFORMATION TRANSMISSION PROBLEMS   (Russian Federation)

^b Datadvance llc   (Russian Federation)

^c MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

Author keywords

Active learning; Computer experiments; Gaussian processes; Sequential design

Indexed keywords

ARTIFICIAL INTELLIGENCE; DESIGN OF EXPERIMENTS; GAUSSIAN NOISE (ELECTRONIC);

ACTIVE LEARNING; BAYESIAN FRAMEWORKS; COMPUTER EXPERIMENT; GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESSES; MULTIDIMENSIONAL FUNCTION; SEQUENTIAL DESIGN;

GAUSSIAN DISTRIBUTION;

EID: 84949845451     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-17091-6_7     Document Type: Conference Paper

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