{"id":477,"date":"2011-03-04T15:57:16","date_gmt":"2011-03-04T15:57:16","guid":{"rendered":"http:\/\/ijandev-test.fi.uncoma.edu.ar\/Wordpress\/index.php\/2011\/03\/04\/seminario-de-machine-learning\/"},"modified":"2022-02-06T22:01:56","modified_gmt":"2022-02-07T01:01:56","slug":"seminario-de-machine-learning","status":"publish","type":"post","link":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/investigacion-y-postgrado\/seminarios\/seminario-de-machine-learning\/","title":{"rendered":"Seminario de Machine Learning"},"content":{"rendered":"<h3 class=\"MsoNormal\" style=\"margin: 0cm 0cm 0pt; text-align: center;\">Seminario de Machine Learning &#8211; Classification<\/h3>\n<p class=\"MsoNormal\" style=\"margin: 0cm 0cm 0pt;\"><strong><br \/><\/strong><\/p>\n<p class=\"MsoNormal\" style=\"margin: 0cm 0cm 0pt;\"><strong>Fecha: <\/strong>28 y 29 de Marzo de 2011<\/p>\n<p><strong>Disertante: <\/strong>DR. MARIANO PHIELIPP \u2013 INTEL Arizona, USA<br \/><strong>Idioma de la disertaci\u00f3n: <\/strong>Castellano<\/p>\n<p><strong>Objetivo: <\/strong>Introducir a la audiencia en el problema del aprendizaje de m\u00e1quina (Machine learning) enfatizando aprendizaje semi-supervisado y en problemas de clasificaci\u00f3n.<\/p>\n<p><!--more--><\/p>\n<p><strong>Contenidos:<\/strong><\/p>\n<ul>\n<li>Context \u2013Overview \u2013 Features &#8211; Feature Vector &#8211; Feature Space &#8211; Kernel Trick \u2013 Learning Supervised \u2013 Unsupervised -Semi-supervised &#8211; Applying Semi-supervised learning &#8211; Applied Research &#8211; Conclusions<\/li>\n<\/ul>\n<p><strong>Bibliograf\u00eda:<\/strong><\/p>\n<ul>\n<li>Pattern Classification, Second Edition, 2000. Duda, Hart and Stork.<\/li>\n<li>Pattern Recognition and Machine Learning, 2007, Bishop.<\/li>\n<li>The Elements of Statistical Learning:\u00a0 Data Mining, Inference, and Prediction, Second Edition, 2009. Hastie, Tibishirani, Friedman.<\/li>\n<li>A Tutorial on Spectral Clustering,\u00a0 Statistics and Computing, 17, (4), 2007. Ulrike von Luxburg.<\/li>\n<li>Semi-Supervised Literature Survey, Computer Sciences, University of Wisconsin-Madison, 2005, Xiaojin, Zhu.<\/li>\n<li>Semi-Supervised Learning Tutorial, Computer Sciences Dept, University of Wiscondin, Madison, USA. 2007. Xiaojin, Zhu.<\/li>\n<li>Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML 2003. Zhu et al.<\/li>\n<\/ul>\n<p><strong>Dirigido a: <\/strong> egresados de carreras de las \u00e1reas Inform\u00e1tica, Estad\u00edstica o Matem\u00e1tica interesados en la b\u00fasqueda de patrones en grandes vol\u00famenes de datos.<\/p>\n<p><strong>Conocimientos previos recomendados:<\/strong> conocimientos de \u00c1lgebra Matricial, C\u00e1lculo, Probabilidades y Estad\u00edstica.<\/p>\n<p><strong>Lugar: <\/strong>Sal\u00f3n Azul (Biblioteca Central UNC)<br \/><strong><br \/>Horario: <\/strong>17:00 a 21:00 hs<br \/><strong>Fecha: <\/strong>28 y 29 de Marzo<\/p>\n<p><strong>Pre-Inscripci\u00f3n:<\/strong> <span class=\"gI\"><span class=\"go\">acechich@gmail.com<\/span><\/span><\/p>\n<p><em>Actividad no arancelada \u2013 Se entregar\u00e1n certificados de Asistencia<\/em><\/p>\n<p><em><br \/><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seminario de Machine Learning &#8211; Classification Fecha: 28 y 29 de Marzo de 2011 Disertante: DR. MARIANO PHIELIPP \u2013 INTEL Arizona, USAIdioma de la disertaci\u00f3n: Castellano Objetivo: Introducir a la audiencia en el problema del aprendizaje de m\u00e1quina (Machine learning) enfatizando aprendizaje semi-supervisado y en problemas de clasificaci\u00f3n.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[34],"tags":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"ufai","author_link":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/author\/ufai\/"},"uagb_comment_info":0,"uagb_excerpt":"Seminario de Machine Learning &#8211; Classification Fecha: 28 y 29 de Marzo de 2011 Disertante: DR. MARIANO PHIELIPP \u2013 INTEL Arizona, USAIdioma de la disertaci\u00f3n: Castellano Objetivo: Introducir a la audiencia en el problema del aprendizaje de m\u00e1quina (Machine learning) enfatizando aprendizaje semi-supervisado y en problemas de clasificaci\u00f3n.","_links":{"self":[{"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/posts\/477"}],"collection":[{"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/comments?post=477"}],"version-history":[{"count":1,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/posts\/477\/revisions"}],"predecessor-version":[{"id":7640,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/posts\/477\/revisions\/7640"}],"wp:attachment":[{"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/media?parent=477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/categories?post=477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fi.uncoma.edu.ar\/index.php\/wp-json\/wp\/v2\/tags?post=477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}