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» A machine learning approach for improved BM25 retrieval
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SIGIR
2002
ACM
13 years 9 months ago
Bayesian online classifiers for text classification and filtering
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
Kian Ming Adam Chai, Hai Leong Chieu, Hwee Tou Ng
BMCBI
2006
99views more  BMCBI 2006»
13 years 9 months ago
Genetic algorithm learning as a robust approach to RNA editing site prediction
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
James Thompson, Shuba Gopal
CIKM
2000
Springer
14 years 1 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski
WWW
2011
ACM
13 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
COLT
1999
Springer
14 years 1 months ago
Multiclass Learning, Boosting, and Error-Correcting Codes
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
Venkatesan Guruswami, Amit Sahai