2007 PredictingStructuredData

• (Bakir et al., 2007) ⇒ Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf. (2007). “Predicting Structured Data.” In: MIT Press. ISBN 0-262-02617-1

Subject Headings: Structured Data Prediction

Cited By

~54 http://scholar.google.com/scholar?cites=5990074176453302677

Quotes

Book overview

• 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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 PredictingStructuredData	Bernhard Schölkopf Thomas Hofmann Gökhan H. Bakir			Predicting Structured Data			http://books.google.com/books?id=b1EFKUoFF8IC