{"id":101044,"date":"2018-03-11T10:22:43","date_gmt":"2018-03-11T10:22:43","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/supervised-classification-in-continuous-domains-with-bayesian-networks\/"},"modified":"2018-03-11T10:22:43","modified_gmt":"2018-03-11T10:22:43","slug":"supervised-classification-in-continuous-domains-with-bayesian-networks","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/supervised-classification-in-continuous-domains-with-bayesian-networks\/","title":{"rendered":"Supervised classification in continuous domains with bayesian networks"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Aritz Perez Martinez <\/strong><\/h2>\n<p>Dicho trabajo de tesis a producido las siguientes aportaciones metodol\u00f3gicas respaldadas por 2 publicaciones en revista con factor de impacto (international journal of approximate reasoning) y una publicaci\u00f3n en la conferencia discovery science:  -conjunto de algoritmos de inducci\u00f3n de clasificadores para el paradigma de las redes gaussianas condicionales [1]. -nuevo paradigma denominado redes bayesianas basadas en kernels [2]. -conjunto de algoritmos de inducci\u00f3n de clasificadores para el paradigma de las redes bayesians basadas en kernels [2]. -estimadores de cantidades de la teor\u00eda de la informaci\u00f3n bajo suposici\u00f3n param\u00e9trica (gaussiana) [1]. -estimadores de cantidades de la teor\u00eda de la informaci\u00f3n bajo suposici\u00f3n no-param\u00e9trica (estimaci\u00f3n de densidades basadas en kernels) [2]. -estudio de la relacion entre el error de clasificacion y cantidades de la teoria de la informaci\u00f3n en clasificadores probabilisticos [3].  referencias a. P\u00e9rez, p. Larra\u00f1aga and i. Inza (2006) supervised classification with conditional gaussian networks: increasing the structure complexity from na\u00ed\u00afve bayes. International journal of approximate reasoning, 43:1-25 a. P\u00e9rez, p. Larra\u00f1aga and i. Inza (2006) information theory and classification error in probabilistic classifiers. Proceedings of the ninth international conference on discovery science. Lecture notes in artificial intelligence, 4265:347-351. a. P\u00e9rez, p. Larra\u00f1aga and i. Inza (2009) bayesian classifiers based on kernel density estimation: flexible classifiers. International journal of approximate reasoning, 50(2):341-362.\u00bb<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Supervised classification in continuous domains with bayesian networks<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Supervised classification in continuous domains with bayesian networks <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Aritz Perez Martinez <\/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 21\/05\/2010<\/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>I\u00f1aki Inza Cano<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Antonio Lozano alonso <\/li>\n<li>Jos\u00e9 Manuel Pe\u00f1a palomar (vocal)<\/li>\n<li>seraf\u00edn Moral callej\u00f3n (vocal)<\/li>\n<li>Jos\u00e9 Antonio Gamez martin (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Aritz Perez Martinez Dicho trabajo de tesis a producido las siguientes aportaciones metodol\u00f3gicas respaldadas por 2 publicaciones [&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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