Predicting Structured Data - 9780262026178
Un libro in lingua di Bakir Gokhan (EDT) Hofmann Thomas (EDT) Schölkopf Bernhard (EDT) Smola Alexander J. (EDT) Taskar Ben (EDT) edito da Mit Pr, 2007
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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, and Jason Weston
Informazioni bibliografiche
- Titolo del Libro in lingua: Predicting Structured Data
- Lingua: English
- Autori : Bakir Gokhan (EDT) Hofmann Thomas (EDT) Schölkopf Bernhard (EDT) Smola Alexander J. (EDT) Taskar Ben (EDT)
- Editore: Mit Pr
- Collana: Mit Pr (Hardcover)
- Data di Pubblicazione: 30 Settembre '07
- Genere: COMPUTERS
- Argomenti : Machine learning Computer algorithms Kernel functions
- Pagine: 348
- Dimensioni mm: 254 x 234 x 19
- ISBN-10: 0262026171
- EAN-13: 9780262026178