IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạm

Loại tài liệu: PDF

Số trang: 206 Trang

Tài liệu: ✅ ĐÃ ĐƯỢC PHÊ DUYỆT

TẢI VỀ

Nội dung chi tiết: IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

Chapman & Hall/CRCMachine Learning & Pattern Recognition SeriesSTATISTICAL REINFORCEMENT LEARNING Modern Machine Learning ApproachesMasashi SugiyamaCR

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26RC PressTaylor & Francis GroupA CHAPMAN & HALL BOOKSTATISTICAL REINFORCEMENT LEARNING Modern Machine Learning ApproachesChapman & Hall/CRCMachine Lear

ning & Pattern Recognition SeriesSERIES EDITORSRalf HerbrichAmazon Development centerBerlin, GermanyThore GraepelMicrosoft Research Ltd.Cambridge, ƯKA IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

IMS AND SCOPEThis series reflects the latest advances and applications in machine learning and pattern recognition through the publication of a broad

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

range of reference works, textbooks, and handbooks. The inclusion of concrete examples, applications, and methods is highly encouraged. The scope of t

Chapman & Hall/CRCMachine Learning & Pattern Recognition SeriesSTATISTICAL REINFORCEMENT LEARNING Modern Machine Learning ApproachesMasashi SugiyamaCR

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26tional'Statistical learning theory, natural language processing, computer vision, game Al. game theory, neural networks, computational neuroscience, a

nd other relevant topics, such as machine learning applied to bioinformatics or cognitive science, which might be proposed by potential contributors.P IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

UBLISHED TITLESBAYESIAN PROGRAMMINGPierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin. and Kamel MekhnachaUTILITY-BASED LEARNING FROM DATACraig Fr

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

iedman and Sven SandowHANDBOOK OF NATURAL LANGUAGE PROCESSING. SECOND EDITIONNit tn Indurkhya and Fred J. DamerauCOST-SENSITIVE MACHINE LEARNINGBaiaji

Chapman & Hall/CRCMachine Learning & Pattern Recognition SeriesSTATISTICAL REINFORCEMENT LEARNING Modern Machine Learning ApproachesMasashi SugiyamaCR

IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26LEARNING: DIMENSIONALITY REDUCTION OFMULTIDIMENSIONAL DATAHaiping Lu. Konstantinos N. Plataniotis, and Anastasias N. VenetsanopoulosMACHINE LEARNING:

An Algorithmic Perspective. Second EditionStephen Marsland IT training statistical reinforcement learning modern machine learning approaches sugiyama 2015 03 26

Chapman & Hall/CRCMachine Learning & Pattern Recognition SeriesSTATISTICAL REINFORCEMENT LEARNING Modern Machine Learning ApproachesMasashi SugiyamaCR