Predicting Structured Data (Hardcover)
Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola
- 出版商: MIT
- 出版日期: 2007-07-27
- 售價: $1,500
- 貴賓價: 9.8 折 $1,470
- 語言: 英文
- 頁數: 360
- 裝訂: Hardcover
- ISBN: 0262026171
- ISBN-13: 9780262026178
-
相關分類:
大數據 Big-data、Machine Learning、Data Science
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商品描述
Description
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.
