Free delivery for orders over 69.99€

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

Speedy courier 3.49 € Speedy point 3.49 € Еконт courier 3.99 € Еконтомат/Офис на Еконт 3.99 € Ekont Box 3.99 € Sameday courier 3.99 € Sameday Box 3.99 € Box Now 3.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99€

Learning with Partially Labeled and Interdependent Data

Name: Learning with Partially Labeled and Interdependent Data
Brand: Springer International Publishing AG
SKU: 09193124
Price: 54.48 EUR
Availability: InStock
Author: Massih-Reza Amini
ISBN: 9783319157252

Massih-Reza Amini

Nicolas Usunier

Language

English

Book Hardback

Libristo code: 09193124

Publishers Springer International Publishing AG, May 2015

This book develops two key machine learning principles: the semi-supervised paradigm and learning wi... Full description

Libristo code: 09193124

132 b

54.48 €

106.56 лв

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

Die vollständige Maus Art Spiegelman

Paperback

20.97 € 41.02 лв

Amor abatido I J N

Adobe ePub DRM

10.35 € 20.25 лв

Durch Sardinien: Bilder Von Festland Und Insel Alfred Meissner

Paperback

21.28 € 41.63 лв

ABC der Tiere 4 - 4. Schuljahr, Wortkarten in 5-Fächer-Lernbox Klaus Kuhn

Game

14.29 € 27.95 лв

Points Obscurs Et Nouveaux de la Vie de Pierre Corneille (Ed.1888) Francois Valentin Bouquet

Paperback

28.07 € 54.90 лв

Gefangenschaft Johann Friedrichs des Grossmuthigen Karl August Hugo Burkhardt

Paperback

13.31 € 26.02 лв

O dobroci Alojzy Henel

Paperback

5.07 € 9.92 лв

Les Drames de l'Epee De Grave-T

Paperback

25.22 € 49.33 лв

Description Du Jardin Royal Des Plantes Medecinales Estably Par Le Roy Louis Le Juste, A Paris. DE LA BROSSE-G

Paperback

16.57 € 32.41 лв

Familienunternehmen M Dengl

Paperback

9.68 € 18.93 лв

Les Energies Renouvelables Au Service de l'Efficacite Energetique Fadoua Belaidene

Paperback

52.83 € 103.32 лв

Leitfaden Aussenwirtschaft Rudolf Sachs

Paperback

66.55 € 130.17 лв

PARLONS TURKMÈNE Triomphe

Paperback

29.62 € 57.94 лв

T'en souviens-tu mon Anais ? Michel Bussi

Paperback

9.63 € 18.83 лв

Die Bubi Scholz Story Uwe Timm

DVD

27.60 € 53.99 лв

NA QUINTA

Hardback

4.97 € 9.72 лв

Austrographics 88 Alexander Clauer

Paperback

55.99 € 109.50 лв

Le Loisir Philosophique: Ou Pieces Diverses de Philosophie, de Morale Et D'Amusement (1747) Emer De Vattel

Hardback

46.87 € 91.67 лв

Choix De Meditations Et De Pensees Chretiennes (1867) Sophie Swetchine

Paperback

29.78 € 58.24 лв

Memoire Pour Louis Charbonniere ... Contre Le Sieur Astruc, Medecin... Louis Charbonni Re

Paperback

12.69 € 24.81 лв

Géopolitique de l'Union européenne Sylvain Kahn

Book

18.33 € 35.85 лв

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine framework through learning with interdependent data. The book traces how the semi-supervised and learning to rank paradigms emerged from new web applications, leading to a massive production of heterogeneous textual data. It explains how semi-supervised learning techniques are widely used but only allow a limited analysis of the information content and thus do not meet the demands of many web-related tasks. Later chapters deal with the development of learning methods for ranking entities in a large collection with respect to precise information needed. In some cases, learning a ranking function can be reduced to learning a classification function over the pairs of examples. The book proves that this task can be efficiently tackled in a new groundwork: learning with interdependent data. It also presents the most valuable algorithms. Researchers and professionals in machine learning will find the new perspectives and solutions valuable. Learning with Partially Labeled and Interdependent Data is also useful for advanced-level students of computer science, particularly those focused on statistics and learning.