james knott gjaidadguarogerscom doug mcgarrett wrote thursday 14 february 2008 1250 randall r schulz wrote thursday 14 february 2008 0852 per jessen wrote carlos e r wrote im pretty certain wont able measure spikes type load almost 99 resistive ie load doesnt vary phase ac resistive means current voltage phase dont see transformer primary inductor anything _but_ reactive per jessen zã¼rich randall schulz transformer literally name impliesit transforms given voltage current another voltage current virtually loss therefore output load transformer resistive input resistive also relationship input voltage current output voltage current linear example input 100 volts 1 amp output could 10 volts 10 amps transformer absolutely lossless extremely efficient cases comfortably put fingers transformer core feel little warmth transformer appears resistive full resistive load anything less theres still amount inductance limit current inductance cause current phase shift use openofficeorg dlnirllcwaikatoacnz sat apr 26 154936 2008 message 3 date fri 07 mar 2008 083859 1300 peter reutemann subject wekalist weka attribution selection method wrapper weka machine learning workbench list messageid 47d048537060805waikatoacnz contenttype textplain charset3diso88591 format3dflowed using weka preevaluating different classifiers attribute selection methods noticed combination wrapper decision stump available familiar wrapper method therefore wondering combination possible algorithmic reason could explain mean combination wrapper decisionstump available ive run combination wrappersubseteval decisionstump base classifier bestfirstgeneticsearch search method explorer works fine however im sure whether decisionstump useful base classifier wrappersubseteval using latest cvs code developer version cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 cfuhjrjyzrmcornelledu sat apr 26 154936 2008 message 4 date thu 6 mar 2008 115516 0800 pst sparkgap subject wekalist newbie question infamous libsvm iuxxdkqklistscmswaikatoacnz messageid 15839853posttalknabblecom contenttype textplain charset3dusascii hi ive seemingly correctly added libsvmjar classpath appears java wekacoresysteminfo classpathfor 357 however appear classifier pull menu assume copy command line explorer many thanks view message context httpwwwnabblecomnewbiequestioninfam ouslibsvmtp15839853p15839853html sent weka mailing list archive nabblecom dlnirllcwaikatoacnz sat apr 26 154936 2008 message 5 date fri 07 mar 2008 092144 1300 peter reutemann subject wekalist newbie question infamous libsvm weka machine learning workbench list messageid 47d052583030804waikatoacnz contenttype textplain charset3diso88591 format3dflowed ive seemingly correctly added libsvmjar classpath appe ars java wekacoresysteminfo classpathfor 357 however appear classifier pull menu assume copy command line explorer many thanks libsvm wrapper part weka available regardless whether libsvmjar classpath libsvm uses reflection call libsvm classes means compile even libsvm available libsvm classifier located following package wekaclassifiersfunctions hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 optgdopustudentdeiucpt sat apr 26 154936 2008 message 6 date thu 06 mar 2008 230913 0000 antf3nio pedro oliveira subject wekalist listen tag music iuxxdkqklistscmswaikatoacnz messageid 47d079998050707studentdeiucpt contenttype textplain charset3diso88591 apologies appropriate mailing list case would like listen tag music go following address youll need less 10 minutes httpstudentdeiucptapsimoesphdmusicismir08indexhtml thanks attention antf3nio pedro oliveira vvrghwk_kxuiisvsyahooes sat apr 26 154936 2008 message 7 date thu 6 mar 2008 151950 0800 pst eduardo sanjurjo subject wekalist wekalist digest vol 61 issue 4 iuxxdkqklistscmswaikatoacnz messageid 29826062106qmweb56512mailre3yahoocom contenttype textplain charset3dutf8 hi using weka evaluating different classifiers attribute select ion methods use experimenter evaluate various classifiers copy paste results excel view best predict ion generate graphics way automatize process something like import classifiers andtheir possible parameter th e experimenter make batch processing canorder analyze result saw project benchmarking weka think best solution dont know exists solutions httpwwwcswaikatoacnzfracpetedownloadsbmfw available classifiers options make import database thanks advance ______________________________________________ enviado desde correo yahoo disfruta de una bandeja de entrada mc3a1s inteligente httpesdocsyah oocommailoverviewindexhtml next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008030 67a216872attachment0001html dlnirllcwaikatoacnz sat apr 26 154936 2008 message 8 date fri 07 mar 2008 141334 1300 peter reutemann subject wekalist wekalist digest vol 61 issue 4 weka machine learning workbench list messageid 47d096be90803waikatoacnz contenttype textplain charset3dutf8 format3dflowed using weka evaluating different classifiers attribute sele ction methods use experimenter evaluate various classifiers copy paste results excel view best predi ction generate graphics way automatize process unless youre willing hack code either subclass wekaexperimentresultmatrix class one subclasses resultmatrixcsv instance override following methods eg dumping generated data file tostringheader tostringkey tostringmatrix tostringranking tostringsummary hack wekaguiexplorerresultspanel class method performtest something like import classifiers andtheir possible parameter theres practical feasible way generating possible parameter settings classifier apart fact weka doesnt provide ranges parameters classifier takes continuousvalued parameter like j48s confidence parameter would almost infinite number possible values experimenter make batch processing canorder analyze results cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 pgpmmednetuclaedu sat apr 26 154936 2008 message 9 date fri 7 mar 2008 004405 0800 huo jing subject wekalist iteration adaboost messageid 27vc545ru8lp2h9xof3054t7uw75m5992f30dwadmedmail4admedctruclaedu contenttype textplain charset3dgb2312 hi questions using adaboost m1 weka explorer gui 1 manually set iterations 2 meaning a1b0 missinga1b1 report example 3d3d3d classifier model full training set 3d3d3d adaboostm1 base classifiers weights decision stump classifications energy 3d 657585e5 no_responding energy 657585e5 responding energy missing no_responding class distributions energy 3d 657585e5 responding no_responding 00 10 energy 657585e5 responding no_responding 06666666666666666 03333333333333333 energy missing responding no_responding 046153846153846156 05384615384615384 weight 12 thank much cheers jing important warning email attachments intended use person entity addressed may contain formation privileged confidential recipient obl igated maintain safe secure confidential manner unauthori zed redisclosure failure maintain confidentiality may subject federal state penalties recipient please immediate ly notify us return email delete message computer _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist tue 05 aug 2008 215223 0500 opensuse ot much power pc really consume