LEADER 03215nam 2200565 a 450 001 9910483748103321 005 20200520144314.0 010 $a3-540-31728-7 024 7 $a10.1007/11559887 035 $a(CKB)1000000000213275 035 $a(SSID)ssj0000317182 035 $a(PQKBManifestationID)11923521 035 $a(PQKBTitleCode)TC0000317182 035 $a(PQKBWorkID)10287277 035 $a(PQKB)10678911 035 $a(DE-He213)978-3-540-31728-9 035 $a(MiAaPQ)EBC3067843 035 $a(PPN)123097762 035 $a(EXLCZ)991000000000213275 100 $a20050831d2005 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDeterministic and statistical methods in machine learning $efirst international workshop, Sheffield, UK, September 7-10, 2004 : revised lectures /$fJoab Winkler, Mahesan Niranjan, Neil Lawrence (eds.) 205 $a1st ed. 2005. 210 $aBerlin ;$aNew York $cSpringer$dc2005 215 $a1 online resource (VIII, 341 p.) 225 1 $aLecture notes in computer science. Lecture notes in artificial intelligence,$x0302-9743 ;$v3635 300 $a"Sheffield Machine Learning Workshop"--Pref. 311 $a3-540-29073-7 320 $aIncludes bibliographical references and index. 327 $aObject Recognition via Local Patch Labelling -- Multi Channel Sequence Processing -- Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis -- Extensions of the Informative Vector Machine -- Efficient Communication by Breathing -- Guiding Local Regression Using Visualisation -- Transformations of Gaussian Process Priors -- Kernel Based Learning Methods: Regularization Networks and RBF Networks -- Redundant Bit Vectors for Quickly Searching High-Dimensional Regions -- Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis -- Ensemble Algorithms for Feature Selection -- Can Gaussian Process Regression Be Made Robust Against Model Mismatch? -- Understanding Gaussian Process Regression Using the Equivalent Kernel -- Integrating Binding Site Predictions Using Non-linear Classification Methods -- Support Vector Machine to Synthesise Kernels -- Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data -- Variational Bayes Estimation of Mixing Coefficients -- A Comparison of Condition Numbers for the Full Rank Least Squares Problem -- SVM Based Learning System for Information Extraction. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v3635. 606 $aMachine learning$vCongresses 606 $aMachine learning$xStatistical methods$vCongresses 615 0$aMachine learning 615 0$aMachine learning$xStatistical methods 676 $a006.3 701 $aWinkler$b Joab$01759987 701 $aNiranjan$b Mahesan$01759988 701 $aLawrence$b Neil$g(Neil D.)$01759989 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483748103321 996 $aDeterministic and statistical methods in machine learning$94198703 997 $aUNINA