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» Estimating query performance using class predictions
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ICML
2000
IEEE
14 years 9 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
ICML
2005
IEEE
14 years 9 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
DCC
1997
IEEE
14 years 1 months ago
Text Compression Via Alphabet Re-Representation
d abstract Philip M. Long Apostol I. Natsevy Je rey Scott Vittery We consider re-representing the alphabet so that a representation of a character re ects its properties as a pr...
Philip M. Long, Apostol Natsev, Jeffrey Scott Vitt...
NAA
2000
Springer
104views Mathematics» more  NAA 2000»
14 years 13 days ago
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems
In this work a grid free Monte Carlo algorithm for solving elliptic boundary value problems is investigated. The proposed Monte Carlo approach leads to a random process called a ba...
Todor V. Gurov, Paula A. Whitlock, Ivan Dimov
CIKM
2004
Springer
14 years 2 months ago
A framework for selective query expansion
Query expansion is a well-known technique that has been shown to improve average retrieval performance. This technique has not been used in many operational systems because of the...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft