{"id":74947,"date":"2018-03-09T23:20:04","date_gmt":"2018-03-09T23:20:04","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/clasificacion-robusta-con-redes-neuronales-para-problemas-con-informacion-imprecisa\/"},"modified":"2018-03-09T23:20:04","modified_gmt":"2018-03-09T23:20:04","slug":"clasificacion-robusta-con-redes-neuronales-para-problemas-con-informacion-imprecisa","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/clasificacion-robusta-con-redes-neuronales-para-problemas-con-informacion-imprecisa\/","title":{"rendered":"Clasificacion robusta con redes neuronales para problemas con informacion imprecisa"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rocio Alaiz Rodriguez <\/strong><\/h2>\n<p>Esta tesis presenta una aproximaci\u00f3n robusta al problema de aprendizaje y clasificaci\u00f3n en escenarios donde los datos disponibles no son suficientemente representativos de las condiciones de operaci\u00f3n del clasificador.  al dise\u00f1ar un clasificador de m\u00ednimo riesgo basado en muestras generalmente se asume que los datos de entrenamiento y los datos futuros proceden del mismo (aunque desconocido) modelo estad\u00edstico. Sin embargo, en muchas aplicaciones reales esto no se cumple, al menos de forma estricta. En particular, es frecuente no poder estimar de forma fiable la distribuci\u00f3n de clases a partir del conjunto de entrenamiento.  se propone hacer frente a esta imprecisi\u00f3n desde una perspectiva robusta que asegure la mejor clasificaci\u00f3n posible para las condiciones menos favorables (criterio minimax). Su implementaci\u00f3n con m\u00e1quinas de decisi\u00f3n de arquitectura neuronal ha dado lugar a algoritmos de entrenamiento que minimizan el error\/riesgo m\u00e1ximo para problemas generales multiclase en situaciones con incertidumbre total o parcial. Se propone, adem\u00e1s, un clasificador que minimice la m\u00e1xima diferencia con respecto al \u00f3ptimo (desviaci\u00f3n m\u00ednimax) en una regi\u00f3n de incertidumbre en las probabilidades a priori arbitrariamente estrecha. finalmente, se presenta una estrategia para adaptar (sin re-entrenar) las soluciones propuestas ante cambios conocidos en los costes de decisi\u00f3n.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Clasificacion robusta con redes neuronales para problemas con informacion imprecisa<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Clasificacion robusta con redes neuronales para problemas con informacion imprecisa <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rocio Alaiz Rodriguez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 23\/06\/2005<\/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>Jes\u00fas Cid Sueiro<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Antonio Artes rodriguez <\/li>\n<li>Luis ignacio Santamar\u00eda caballero (vocal)<\/li>\n<li>Alberto Prieto espinosa (vocal)<\/li>\n<li>Jos\u00e9 Luis Alba castro (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rocio Alaiz Rodriguez Esta tesis presenta una aproximaci\u00f3n robusta al problema de aprendizaje y clasificaci\u00f3n en escenarios [&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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