Springer-Verlag / Rocchio / New York / Cambridge / Melbourne / Reading / London / /
Company
McGraw Hill Book Co. / Amit Singhal AT&T Labs / AT&T / Prentice Hall Inc. / AddisonWesley Publishing Co. / Document Retrieval Systems / ACM Inc. / Las Vegas NV / Harvard Computational Laboratory / Reuters / /
Country
Japan / Australia / Israel / /
Currency
USD / / /
Event
Product Issues / Product Recall / /
Facility
Carnegie Mellon University / University of California at Berkeley / /
IndustryTerm
machine learning algorithms / Automatic text processing / inference networks / weak learning algorithm / relevance feedback algorithms / neural networks / on-line learning / above algorithm / autonomous text classification systems / vector inner-product / large scale filtering systems / principled learning algorithm / Expert network / well known algorithm / sequential algorithm / information filtering systems / text filtering algorithms / feedback query creation algorithm / text filtering algorithm / art machine learning algorithms / learning algorithm / learning algorithms / /
Organization
University of California / Harvard / idf / Statistics Department / American Society for Information Science / Association for Computing Machinery / School of Computer Science / Carnegie Mellon University / /
Person
Hinrich Schutze / David Hull / Wee Sun Lee / Ron Papka / William Gale / Fred Damerau / James Allan / Mandar Mitra / William W. Cohen / Chris Buckley / A. Wong / Robert E. Schapire / Yoram Singer / Chidanand Apte / James Callan / Manfred K. Warmuth / Yoav Freund / Van Rijsbergen / Thorsten Joachims / Mark Ringuette / Leo Breiman / David Lewis / M.J. McGill / Sholom Weiss / Peter Bartlett / Morgan Kaufman / Kamal Nigam / Jan Pedersen / Andrew McCallum / C.S. Yang / Gerard Salton / /
Position
poisson model for probabilistic weighted retrieval / singer / vector space model for information retrieval / /
Product
precision / /
ProvinceOrState
New York / California / Massachusetts / /
PublishedMedium
the Machine Learning / the Theory of Computing / Machine Learning / Communications of the ACM / /
Technology
Human Language Technology / machine learning algorithms / SGML / relevance feedback algorithms / two learning algorithms / machine learning / AdaBoost algorithm / text filtering algorithm / two algorithms / text filtering algorithms / learning algorithm / sequential algorithm / well known algorithm / weak learning algorithm / AdaBoost boosting algorithm / Boosting algorithms / feedback query creation algorithm / boosting algorithm / Training algorithm / principled learning algorithm / routing algorithm / /
Boosting and Rocchio Applied to Text Filtering Robert E. Schapire, Yoram Singer, Amit Singhal AT&T Labs — Research 180 Park Avenue, Florham Park, NJ[removed]fschapire,singer,[removed] Abstract