LEADER 02695nam 2200601Ia 450 001 9910437918803321 005 20200520144314.0 010 $a9783642290299 010 $a3642290299 024 7 $a10.1007/978-3-642-29029-9 035 $a(CKB)3390000000030171 035 $a(SSID)ssj0000746044 035 $a(PQKBManifestationID)11489085 035 $a(PQKBTitleCode)TC0000746044 035 $a(PQKBWorkID)10862915 035 $a(PQKB)10689108 035 $a(DE-He213)978-3-642-29029-9 035 $a(MiAaPQ)EBC3070954 035 $a(PPN)168313472 035 $a(EXLCZ)993390000000030171 100 $a20120803d2013 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aMinimum error entropy classification /$fJoaquim P. Marques de Sa ... [et al.] 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cSpringer$dc2013 215 $a1 online resource (XVIII, 262 p.) 225 1 $aStudies in computational intelligence,$x1860-949X ;$v420 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642437427 311 08$a3642437427 311 08$a9783642290282 311 08$a3642290280 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Continuous Risk Functionals -- MEE with Continuous Errors -- MEE with Discrete Errors -- EE-Inspired Risks -- Applications. 330 $aThis book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi?layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE?like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 410 0$aStudies in computational intelligence ;$vv. 420. 606 $aMachine learning 606 $aComputational learning theory 615 0$aMachine learning. 615 0$aComputational learning theory. 676 $a006.3/1 701 $aSa$b J. P. Marques de$f1946-$0312072 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437918803321 996 $aMinimum error entropy classification$94192824 997 $aUNINA