文件名称：Predicting Structured Data (MIT-Press 2007)
文件大小：3.14MB
文件格式：PDF
更新时间：2012-10-03 07:22:54
machine learning
作者: Bakir, Gokhan H. (EDT)/ Hofmann, Thomas (EDT)/ Sch鰈kopf, Bernhard (EDT)/ Smola, Alexander J. (EDT)/ Taskar, Ben (EDT) ISBN: 9780262026178 描述： 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.