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» Predicting Query Performance via Classification
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ICML
2009
IEEE
14 years 10 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
ICTAI
1999
IEEE
14 years 1 months ago
Dynamic Email Organization via Relevance Categories
Many researchers have proposed classification systems that automatically classify email in order to reduce information overload. However, none of these systems are in use today. T...
Kenrick J. Mock
SIGIR
2011
ACM
13 years 13 days ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
WWW
2010
ACM
13 years 9 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...
IJCAI
2003
13 years 11 months ago
Combining Classification and Transduction for Value Prediction in Speculative Plan Execution
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock