{"product_id":"predicting-structured-data-paperback","title":"Predicting Structured Data - Paperback","description":"\u003cp\u003eby \u003cb\u003eGokhan Bakir\u003c\/b\u003e (Editor), \u003cb\u003eThomas Hofmann\u003c\/b\u003e (Editor), \u003cb\u003eBernhard Scholkopf\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eState-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMachine 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eContributors \u003cbr\u003e\u003c\/b\u003eYasemin Altun, G khan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daum  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 P rez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Sch lkopf, 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\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eS. V. N. Vishwanathan is an Assistant Professor of Statistics and Computer Science at Purdue University and Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 362\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 10 x 8 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 27, 2007\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42736807510079,"sku":"9780262528047","price":81.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/eb0a148811170563dc504bfc777f67cb.webp?v=1765147921","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/predicting-structured-data-paperback","provider":"BBB","version":"1.0","type":"link"}