<div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------</div><div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr">From: <span dir="auto">&lt;<a href="mailto:ricercaoperativa@di.unito.it" target="_blank">ricercaoperativa@di.unito.it</a>&gt;</span><br>Date: Fri, 12 Mar 2021 at 09:29<br>Subject: [Mailing list RicercaOperativa] Corso &quot;Optimization Models for Machine Learning&quot; - 22-26 marzo 2021<br></div><br><div lang="IT" link="#0563C1" vlink="#954F72"><div><p class="MsoNormal">Cari tutti,</p><p class="MsoNormal"> </p><p class="MsoNormal">nella settimana dal 22 al 26 marzo prossimi, nell’ambito del Dottorato di Ricerca in Matematica e Informatica dell’Università della Calabria (Dipartimento di Matematica e Informatica), terrò un corso dal titolo “Optimization Models for Machine Learning”, 4 CFU, 12 ore. </p><p class="MsoNormal"> </p><p class="MsoNormal">Obiettivo del corso sarà quello di presentare alcuni modelli di ottimizzazione finalizzati al Machine Learning, con riferimento alla classificazione supervisionata, non supervisionata e semi-supervisionata. Il corso inoltre è “self-contained”: quindi la prima parte sarà introduttiva e dedicata alla presentazione dei principali concetti dell’Ottimizzazione Matematica. Una piccolo spazio sarà anche dedicato ai problemi di Multiple Instance Learning. Ecco il programma nel dettaglio:</p><p class="MsoNormal"> </p><p class="MsoNormal"><b><span lang="EN-GB">PART I: Introduction to Numerical Optimization</span></b></p><ul style="margin-top:0cm" type="disc"><li style="margin-left:17.4pt"><span lang="EN-GB">The optimization problems;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">The min-max problems;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Convexity;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Global and local minima;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Optimality conditions;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">The Wolfe dual problem.</span></li></ul><p class="MsoNormal"><b><span lang="EN-GB">PART II: Numerical Optimization and Machine Learning</span></b></p><ul style="margin-top:0cm" type="disc"><li style="margin-left:17.4pt"><span lang="EN-GB">Introduction to Machine Learning;<b></b></span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Optimization and pattern classification;<b></b></span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Optimization models for supervised classification;</span></li><ul style="margin-top:0cm" type="circle"><li style="margin-left:17.4pt"><span lang="EN-GB">Linear separation;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Spherical separation;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Polyhedral separation;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Support Vector Machine;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">The kernel trick;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Proximal Support Vector Machine;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Spherical separation with margin;</span></li></ul><li style="margin-left:17.4pt"><span lang="EN-GB"> Optimization models for unsupervised classification;</span></li><ul style="margin-top:0cm" type="circle"><li style="margin-left:17.4pt"><span lang="EN-GB">The non-smooth clustering optimization model;</span></li></ul><li style="margin-left:17.4pt"><span lang="EN-GB">Optimization models for semi-supervised classification;</span></li><ul style="margin-top:0cm" type="circle"><li style="margin-left:17.4pt"><span lang="EN-GB">Transductive Support Vector Machine;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Semi-supervised spherical separation;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Semi-supervised polyhedral separation;</span></li></ul><li style="margin-left:17.4pt"><span lang="EN-GB">Multiple Instance Learning;</span></li><ul style="margin-top:0cm" type="circle"><li style="margin-left:17.4pt"><span lang="EN-GB">Instance-space, bag-space and embedding-space approaches;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Support Vector Machine for Multiple Instance Learning;</span></li></ul><li style="margin-left:17.4pt"><span lang="EN-GB">Evaluation of a classifier;</span></li><ul style="margin-top:0cm" type="circle"><li style="margin-left:17.4pt"><span lang="EN-GB">Accuracy;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Sensitivity;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Specificity;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">Precision;</span></li><li style="margin-left:17.4pt"><span lang="EN-GB">F-score;</span></li></ul><li style="margin-left:17.4pt"><span lang="EN-GB">Model selection: cross validation and leave-one-out strategies. </span></li></ul><p class="MsoNormal"><span lang="EN-GB"> </span></p><p class="MsoNormal">Le lezioni si svolgeranno sulla piattaforma Teams e sono rivolte a dottorandi e/o studenti magistrali. Se qualcuno è interessato a seguire le lezioni, può contattarmi all’indirizzo <a href="mailto:antonio.fuduli@unical.it" target="_blank">antonio.fuduli@unical.it</a>.</p><p class="MsoNormal"> </p><p class="MsoNormal">Cordiali saluti a tutti,</p><p class="MsoNormal">Antonio </p><p class="MsoNormal"> </p><p class="MsoNormal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"> </span></p><p class="MsoNormal"><b><span style="color:black">______________________________________</span></b><b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black"></span></b></p><p class="MsoNormal"><b><span>ANTONIO FUDULI</span></b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><b><span><img border="0" width="161" height="80" style="width:1.6759in;height:.8333in" id="m_-6844128601560033918m_2270702376436689509Immagine_x0020_1" src="cid:e2b9f93a2c94814c_0.1" alt="logo"></span></b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><b><span>Dipartimento di Matematica e Informatica -</span></b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><b><span>Universita’ della Calabria -</span></b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span style="font-size:10.0pt">Via P. Bucci, CUBO 31B - 87036 - Rende (CS) - Italia</span><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt">Phone: +39 0984 49 64 39</span><span lang="EN-GB" style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt">Fax: +39 0984 49 64 10</span><span lang="EN-GB" style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt">Email: </span><span style="font-size:10.0pt"><a href="mailto:antonio.fuduli@unical.it" target="_blank"><span lang="EN-US" style="color:windowtext">antonio.fuduli@unical.it</span></a></span><span lang="EN-GB" style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt">Home page: <a href="http://www.mat.unical.it/~fuduli" target="_blank"><span style="color:windowtext">www.mat.unical.it/~fuduli</span></a></span><span lang="EN-GB" style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"></span></p><p class="MsoNormal"><span lang="EN-GB"> </span></p></div></div></div></div></div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><br></div></div></div></div></div></div>