Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Cano, Iñaki"'
2
Acercamiento a Nicolasa de Helguero (1719-1805)
Autor: Cano, Iñaki
Este documento reproduce el estudio introductorio de la edición de la obra de Nicolasa de Helguero y Alvarado, publicada digitalmente por Iñaki Cano en junio de 2021 dentro del Proyecto BIESES (Bibliografía de Escritoras Españolas). Se han recogi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::373f96f3cc8296f6f70cc7b39fb0ba40
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3
On the optimal usage of labelled examples in semi-supervised multi-class classification problems
Autor: Ortigosa Hernández, Jonathan, Inza Cano, Iñaki, Lozano Alonso, José Antonio
Publikováno v: Addi. Archivo Digital para la Docencia y la Investigación
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In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a step further by extending the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::218c06dd65652540c3671f4a1fdc6d13
http://hdl.handle.net/10810/15004
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4
Efficient learning of decomposable models with a bounded clique size
Autor: Pérez Martínez, Aritz, Inza Cano, Iñaki, Lozano Alonso, José Antonio
Publikováno v: Addi. Archivo Digital para la Docencia y la Investigación
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The learning of probability distributions from data is a ubiquitous problem in the fields of Statistics and Artificial Intelligence. During the last decades several learning algorithms have been proposed to learn probability distributions based on de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb14096d783d295f1e8b8667faf94163
http://hdl.handle.net/10810/12361
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5
Peakbin selection in Mass Spectrometry data using a consensus approach with estimation of distribution algorithms
Autor: Armañanzas Arnedillo, Ruben, Saeys, Yvan, Inza Cano, Iñaki, García Torres, Miguel, Bielza Lozoya, María Concepción, Peer, Yves van de, Larrañaga Múgica, Pedro María
Publikováno v: IEEE/ACM Transactions on Computational Biology and Bioinformatics, ISSN 1557-9964, 2011-05, Vol. 8, No. 3
Progress is continuously being made in the quest for stable biomarkers linked to complex diseases. Mass spectrometers are one of the devices for tackling this problem. The data profiles they produce are noisy and unstable. In these profiles, biomarke
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1033::4ad8528d9ad724d0ff7e37301985e2ae
https://oa.upm.es/72874/
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6
Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers
Autor: Ortigosa Hernández, Jonathan, Rodríguez Fernández, Juan Diego, Alzate, Leandro, Lucania, Manuel, Inza Cano, Iñaki, Lozano Alonso, José Antonio
Publikováno v: Addi. Archivo Digital para la Docencia y la Investigación
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Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions expressed in text. Within this broad field, most of the work has been focused on either Sentiment Polarity classification, where a text is classified as hav
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35d7effe133fc3e54500870fa4cc34ff
http://hdl.handle.net/10810/4762
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8
Modelos gráficos probabilísticos para la clasificación supervisada empleando la estimación basada en kernels Gaussianos esféricos
Autor: Pérez, Aritz, Larrañaga Múgica, Pedro María, Inza Cano, Iñaki
Publikováno v: Modelos gráficos probabilísticos para la clasificación supervisada empleando la estimación basada en kernels Gaussianos esféricos | En: Actas del III Taller Nacional de Minería de Datos y Aprendizaje | pag. 125-134 | Thomson-Paraninfo | 2005
El clasificador naive Bayes ha demostrado comportarse sorprendentemente bien en la clasificación supervisada a pesar de que asume que las variables predictoras son condicionalmente independientes dada la clase, lo que generalmente no se cumple. El c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1033::7f91152fd86fba7544e4605a2925635c
https://oa.upm.es/74438/
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9
Learning Bayesian networks in the space of structures by estimation of distribution algorithms
Autor: Blanco Gómez, Rosa, Inza Cano, Iñaki, Larrañaga Múgica, Pedro María
Publikováno v: International Journal of Intelligent System, ISSN 0884-8173, 2004-01, Vol. 18, No. 2
The induction of the optimal Bayesian network structure is NP-hard, justifying the use of search heuristics. Two novel population-based stochastic search approaches, univariate marginal distribution algorithm (UMDA) and population-based incremental l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1033::47131c6d87b410cb9d8217c58a7792e4
https://oa.upm.es/73176/
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10
Feature subset selection by genetic algorithms and estimation of distribution algorithms: a case study in the survival of cirrhotic patients treated with TIPS
Autor: Inza Cano, Iñaki, Merino Hernández, María Luisa, Larrañaga Múgica, Pedro María, Quiroga Vila, Jorge, Sierra Araujo, Basilio, Girala Salomón, Marcos
Publikováno v: Artificial Intelligence in Medicine, ISSN 0933-3657, 2001-10, Vol. 23, No. 2
The transjugular intrahepatic portosystemic shunt (TIPS) is an interventional treatment for cirrhotic patients with portal hypertension. In the light of our medical staff’s experience, the consequences of TIPS are not homogeneous for all the patien
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1033::68fd4bad7b21d2df1c69acbd027f9be6
https://oa.upm.es/73371/
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