Predicting Structured Data (häftad)
Fler böcker inom
Format
E-bok
Språk
Engelska
Antal sidor
362
Utgivningsdatum
2007-07-27
Förlag
The MIT Press
ISBN
9780262292801

Predicting Structured Data E-bok

av Gokhan Bakir, Thomas Hofmann, Bernhard Scholkopf, Alexander J Smola, Ben Taskar
E-bok,  Engelska, 2007-07-27
665
Ladda ned
Spara som favorit
Läs i Bokus Reader för iOS och Android
Finns även som
Visa alla 1 format & utgåvor
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field. Contributors Yasemin Altun, Gokhan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daume III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Perez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Scholkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Gokhan Bakir, Thomas Hofmann, Bernhard Scholkopf, Alexander J Smola, Ben Taskar

Du kanske gillar