LEADER 01429nam--2200433---450- 001 990000876870203316 005 20050630142908.0 010 $a84-249-1260-8 035 $a0087687 035 $aUSA010087687 035 $a(ALEPH)000087687USA01 035 $a0087687 100 $a20020116d1988----km-y0itay0103----ba 101 $aspa 102 $aES 105 $a||||||||001yy 200 1 $a<> generacion de poeta espanoles$e1920-1936$fC.B. Morris$gversion espanola de A. R. Bocanegra 210 $aMadrid$cGredoa$d1988 215 $a326 p$d20 cm 225 2 $aBiblioteca romanica hispanica$h2.$iEstudios y ensayes$v357 312 $aA generation of Spanish poetes 410 $12001$aBiblioteca romanica hispanica$h2.$iEstudios y ensayes$v357 454 $12001$aA generation of Spanish poetes$943490 606 0 $aPoesia spagnola$z1920-1936 606 0 $aPoeti spagnoli$z1920-1936 676 $a861.6209 700 1$aMORRIS,$bC.B.$0551410 702 1$aBOCANEGRA,$bA.R. 801 0$aIT$bsalbc$gISBD 912 $a990000876870203316 951 $aVI.5. Coll.15/ 179(II sp C COLL. 21/357)$b115330 Lm$cII sp C COLL. 959 $aBK 969 $aUMA 979 $aPATTY$b90$c20020116$lUSA01$h1034 979 $c20020403$lUSA01$h1732 979 $aPATRY$b90$c20040406$lUSA01$h1700 979 $aCOPAT6$b90$c20050630$lUSA01$h1429 996 $aA generation of Spanish poetes$943490 997 $aUNISA LEADER 03709nam 2200841Ia 450 001 9910828884603321 005 20200520144314.0 010 $a9786613425010 010 $a9781283425018 010 $a1283425017 010 $a9781118119716 010 $a1118119711 010 $a9781118119723 010 $a111811972X 010 $a9781118119693 010 $a111811969X 024 7 $a10.1002/9781118119723 035 $a(CKB)2560000000079135 035 $a(EBL)818439 035 $a(SSID)ssj0000593065 035 $a(PQKBManifestationID)11400961 035 $a(PQKBTitleCode)TC0000593065 035 $a(PQKBWorkID)10736708 035 $a(PQKB)10625333 035 $a(CaBNVSL)mat07043961 035 $a(IDAMS)0b0000648294b06b 035 $a(IEEE)7043961 035 $a(Au-PeEL)EBL818439 035 $a(CaPaEBR)ebr10523999 035 $a(CaONFJC)MIL342501 035 $a(OCoLC)779616330 035 $a(CaSebORM)9781118119716 035 $a(MiAaPQ)EBC818439 035 $a(PPN)257645241 035 $a(Perlego)1012509 035 $a(EXLCZ)992560000000079135 100 $a20110329d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRough-fuzzy pattern recognition $eapplications in bioinformatics and medical imaging /$fPradipta Maji, Sankar K. Pal 205 $a1st ed. 210 $aHoboken, NJ $cWiley$d2012 215 $a1 online resource (313 p.) 225 1 $aWiley series in bioinformatics ;$v3 300 $aDescription based upon print version of record. 311 08$a9781118004401 311 08$a111800440X 320 $aIncludes bibliographical references and index. 327 $aFrontmatter -- Introduction to Pattern Recognition and Data Mining -- Rough-Fuzzy Hybridization and Granular Computing -- Rough-Fuzzy Clustering: Generalized A-Means Algorithm -- Rough-Fuzzy Granulation and Pattern Classification -- Fuzzy-Rough Feature Selection using -Information Measures -- Rough Fuzzy -Medoids and Amino Acid Sequence Analysis -- Clustering Functionally Similar Genes from Microarray Data -- Selection of Discriminative Genes from Microarray Data -- Segmentation of Brain Magnetic Resonance Images -- Index. 330 $aLearn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing

Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. 410 0$aWiley series on bioinformatics ;$v3. 606 $aFuzzy systems in medicine 606 $aPattern recognition systems 606 $aBioinformatics 606 $aDiagnostic imaging$xData processing 615 0$aFuzzy systems in medicine. 615 0$aPattern recognition systems. 615 0$aBioinformatics. 615 0$aDiagnostic imaging$xData processing. 676 $a610.285 686 $aTEC008000$2bisacsh 700 $aMaji$b Pradipta$f1976-$01637614 701 $aPal$b Sankar K$0117447 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828884603321 996 $aRough-fuzzy pattern recognition$93979562 997 $aUNINA