Biomedical Data Mining Using Machine Learning: An Experimental Account
5 Angebote vergleichen
| Preise | 2013 | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Schnitt | € 55,89 | € 56,19 | € 64,16 | € 68,81 |
| Nachfrage |
1
Symbolbild
Biomedical Data Mining Using Machine Learning
DE PB NWISBN: 9783639216448 bzw. 363921644X, in Deutsch, VDM Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 104 pages. Dimensions: 8.4in. x 5.9in. x 0.6in.Biomedical Data Mining is an ever growing area of Natural Laguage Processing. This book provides an introduction to this field and its experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology. This is an alternative to the traditional approaches involving labour-expensive manual data annotation. More specifically we address the task of gene name disambiguation. In biomedical literature same gene names tend to be used to refer to a number of entities, e. g. gene itself, RNA sequence, the protein produced, or some other product. Therefore, when performing information extraction tasks identifying gene names is not sufficient and it is necessary to distinguish between all biological entities they refer to. We derive a set of rules from a biomedical ontology, and then apply them to tag the data. This data is then used to train a maximum entropy classifier, that proves to be capable to learn new information and improve over the ontology-based knowledge specified a priori. The machine learning techniques described in this book can be applied to text mining in any domain. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 104 pages. Dimensions: 8.4in. x 5.9in. x 0.6in.Biomedical Data Mining is an ever growing area of Natural Laguage Processing. This book provides an introduction to this field and its experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology. This is an alternative to the traditional approaches involving labour-expensive manual data annotation. More specifically we address the task of gene name disambiguation. In biomedical literature same gene names tend to be used to refer to a number of entities, e. g. gene itself, RNA sequence, the protein produced, or some other product. Therefore, when performing information extraction tasks identifying gene names is not sufficient and it is necessary to distinguish between all biological entities they refer to. We derive a set of rules from a biomedical ontology, and then apply them to tag the data. This data is then used to train a maximum entropy classifier, that proves to be capable to learn new information and improve over the ontology-based knowledge specified a priori. The machine learning techniques described in this book can be applied to text mining in any domain. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Biomedical Data Mining Using Machine Learning: An Experimental Account (2009)
EN PB USISBN: 9783639216448 bzw. 363921644X, in Englisch, 104 Seiten, VDM Verlag Dr. Müller, Taschenbuch, gebraucht.
Neu ab: $71.58 (6 Angebote)
Gebraucht ab: $84.31 (1 Angebote)
Zu den weiteren 7 Angeboten bei Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, super_star_seller.
Biomedical Data Mining is an ever growing area of Natural Laguage Processing. This book provides an introduction to this field and its experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology. This is an alternative to the traditional approaches involving labour-expensive manual data annotation. More specifically we address the task of gene name disambiguation. In biomedical literature same gene names tend to be used to refer to a number of entities, e.g. gene itself, RNA sequence, the protein produced, or some other product. Therefore, when performing information extraction tasks identifying gene names is not sufficient and it is necessary to distinguish between all biological entities they refer to. We derive a set of rules from a biomedical ontology, and then apply them to tag the data. This data is then used to train a maximum entropy classifier, that proves to be capable to learn new information and improve over the ontology-based knowledge specified a priori. The machine learning techniques described in this book can be applied to text mining in any domain. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2009-12-04, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 14100855.
Von Händler/Antiquariat, super_star_seller.
Biomedical Data Mining is an ever growing area of Natural Laguage Processing. This book provides an introduction to this field and its experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology. This is an alternative to the traditional approaches involving labour-expensive manual data annotation. More specifically we address the task of gene name disambiguation. In biomedical literature same gene names tend to be used to refer to a number of entities, e.g. gene itself, RNA sequence, the protein produced, or some other product. Therefore, when performing information extraction tasks identifying gene names is not sufficient and it is necessary to distinguish between all biological entities they refer to. We derive a set of rules from a biomedical ontology, and then apply them to tag the data. This data is then used to train a maximum entropy classifier, that proves to be capable to learn new information and improve over the ontology-based knowledge specified a priori. The machine learning techniques described in this book can be applied to text mining in any domain. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2009-12-04, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 14100855.
3
Symbolbild
Biomedical Data Mining Using Machine Learning (2009)
DE PB NW RPISBN: 9783639216448 bzw. 363921644X, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
4
Biomedical Data Mining Using Machine Learning (2009)
EN NWISBN: 9783639216448 bzw. 363921644X, in Englisch, 104 Seiten, VDM Verlag, neu.
Lieferung aus: Spanien, Normalmente se despacha en 24 horas.
Von Händler/Antiquariat, Amazon.es.
Tapa blanda, Label: VDM Verlag, VDM Verlag, Produktgruppe: Libro, Publiziert: 2009-12-04, Studio: VDM Verlag.
Von Händler/Antiquariat, Amazon.es.
Tapa blanda, Label: VDM Verlag, VDM Verlag, Produktgruppe: Libro, Publiziert: 2009-12-04, Studio: VDM Verlag.
5
Symbolbild
Biomedical Data Mining Using Machine Learning (2012)
DE PB NWISBN: 9783639216448 bzw. 363921644X, in Deutsch, VDM Verlag, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten, Verandgebiet: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
Lade…