{"id":17330,"date":"2002-10-06T00:00:00","date_gmt":"2002-10-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/advances-in-supervised-classification-based-on-probabilistic-graphical-models\/"},"modified":"2002-10-06T00:00:00","modified_gmt":"2002-10-06T00:00:00","slug":"advances-in-supervised-classification-based-on-probabilistic-graphical-models","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/advances-in-supervised-classification-based-on-probabilistic-graphical-models\/","title":{"rendered":"Advances in supervised classification based on probabilistic graphical models"},"content":{"rendered":"<h2>Tesis doctoral de <strong> I\u00f1aki Inza Cano <\/strong><\/h2>\n<p>El trabajo de esta tesis realiza aportaciones en el \u00e1rea de la clasificaci\u00f3n supervisada, bas\u00e1ndose en el uso de modelos gr\u00e1ficos probabil\u00edsticos. B\u00e1sicamente, las aportaciones realizadas se podr\u00edan resumir de la siguiente manera.  * es uso de un paradigma de modelo gr\u00e1fico probabil\u00edstico, las redes bayesianas, para estudiar el comportamiento conjunto de un grupo de clasificadores supervisados.  * por medio de un algoritmo estoc\u00e1stico de b\u00fasqueda inspirado en los modelos gr\u00e1ficos probabil\u00edsticos para dominios discretos, la propuesta de una bater\u00eda de algoritmos novedosos que resuelven el problema de la selecci\u00f3n de variables en la clasificaci\u00f3n supervisada.  * por medio de un algoritmo estoc\u00e1stico de b\u00fasqueda inspirado en los modelos gr\u00e1ficos probabil\u00edsticos para dominios discretos y continuos, la propuesta de dos algoritmos novedosos que resuelven el problema del pesado de los atributos para el clasificador del \u00abvecino m\u00e1s pr\u00f3ximo\u00bb.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Advances in supervised classification based on probabilistic graphical models<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Advances in supervised classification based on probabilistic graphical models <\/li>\n<li><strong>Autor:<\/strong>\u00a0 I\u00f1aki Inza Cano <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Pa\u00eds vasco\/euskal herriko unibertsitatea<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/06\/2002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Pedro Larra\u00f1aga Mugica<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Torrealdea folgado Francisco javier <\/li>\n<li>serafin Moral callejon (vocal)<\/li>\n<li>Antonio Bahamonde rionda (vocal)<\/li>\n<li>daniel Borrajo mill\u00e1n (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de I\u00f1aki Inza Cano El trabajo de esta tesis realiza aportaciones en el \u00e1rea de la clasificaci\u00f3n supervisada, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","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":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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