<div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Prezados(as),</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Dando continuidade, esta semana pretendo mostrar a equivalência e similaridade entre SVM e Penalized Likelihood for Bernoulli Models (PLBM). Como o espaço da penalty, neste caso, é gerado por funções constantes. Vantagens em estimar log odds ratio em PLBM sobre SVM. Mostrar que RKHS, NÃO gera modelos esparsos e como  usar a alternativa de expansão por B-splines para regularização/penalização e métodos do tipo LASSO.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:18px;line-height:normal;font-family:Helvetica;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><i><b>Statistical model building, machine</b></i></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:18px;line-height:normal;font-family:Helvetica;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><i><b>learning, and the ah-ha moment</b></i></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:18px;line-height:normal;font-family:Helvetica;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><i>(author: Grace Wahba, from Past-present-future of statistical science)</i></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:18px;line-height:normal;font-family:Helvetica;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><i><br></i></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:16px;line-height:normal;font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><span style="font-size:18px;font-family:Helvetica">-<span> </span></span><font face="verdana, sans-serif">Introduction to Parzen RKHS</font></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:16px;line-height:normal;font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><font face="verdana, sans-serif">- Representer Theorem</font></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:16px;line-height:normal;font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><font face="verdana, sans-serif">- GCV</font></p><p class="gmail-m_4859451061663902067gmail-m_5829675868509742474gmail-m_2795429500199737496gmail-p1" style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:16px;line-height:normal;font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;margin:0px"><font face="verdana, sans-serif"><font>- "</font> Vladimir Vapnik, the mystery caller and the SVM"</font></p><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><div class="gmail_default" style="font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">data: 21/08</div><div class="gmail_default" style="font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">hora: 13hs</div><div class="gmail_default" style="font-family:arial,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Local: sala 221, IMECC.</div><br></div><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div>Ronaldo Dias</div>Professor<div>Dept. of Statistics-IMECC, UNICAMP</div><div><a href="http://www.ime.unicamp.br/~dias" target="_blank">www.ime.unicamp.br/~dias</a></div><div><br></div></div></div></div>
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