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000931390 019__ $$a1150198248$$a1152543414$$a1153163490$$a1153953345$$a1154465330
000931390 020__ $$a9783030407940$$q(electronic book)
000931390 020__ $$a3030407942$$q(electronic book)
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000931390 020__ $$z9783030407933
000931390 0248_ $$a10.1007/978-3-030-40
000931390 035__ $$aSP(OCoLC)on1149342194
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000931390 050_4 $$aQ325.5
000931390 08204 $$a006.3/1$$223
000931390 24500 $$aFeature learning and understanding :$$balgorithms and applications /$$cHaitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang.
000931390 260__ $$aCham :$$bSpringer,$$c2020.
000931390 300__ $$a1 online resource
000931390 336__ $$atext$$btxt$$2rdacontent
000931390 337__ $$acomputer$$bc$$2rdamedia
000931390 338__ $$aonline resource$$bcr$$2rdacarrier
000931390 4901_ $$aInformation Fusion and Data Science
000931390 504__ $$aIncludes bibliographical references and index.
000931390 506__ $$aAccess limited to authorized users.
000931390 520__ $$aThis book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.
000931390 650_0 $$aMachine learning.
000931390 650_0 $$aBig data.
000931390 7001_ $$aZhao, Haitao,$$d1986-
000931390 7001_ $$aLai, Zhihui.
000931390 7001_ $$aLeung, Henry.
000931390 7001_ $$aZhang, Xianyi.
000931390 77608 $$iPrint version:$$tFeature learning and understanding.$$dCham : Springer, 2020$$z3030407934$$z9783030407933$$w(OCoLC)1136962980
000931390 830_0 $$aInformation Fusion and Data Science.
000931390 852__ $$bebk
000931390 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-40794-0$$zOnline Access$$91397441.1
000931390 909CO $$ooai:library.usi.edu:931390$$pGLOBAL_SET
000931390 980__ $$aEBOOK
000931390 980__ $$aBIB
000931390 982__ $$aEbook
000931390 983__ $$aOnline
000931390 994__ $$a92$$bISE