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» Noise-tolerant learning, the parity problem, and the statist...
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SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
ICDE
2010
IEEE
171views Database» more  ICDE 2010»
14 years 8 months ago
Surrogate Ranking for Very Expensive Similarity Queries
1 We consider the problem of similarity search in applications where the cost of computing the similarity between two records is very expensive, and the similarity measure is not a...
Chris Jermaine, Fei Xu, Mingxi Wu, Ravi Jampani, T...
ICS
2010
Tsinghua U.
14 years 6 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
EMNLP
2009
13 years 6 months ago
Discovery of Term Variation in Japanese Web Search Queries
In this paper we address the problem of identifying a broad range of term variations in Japanese web search queries, where these variations pose a particularly thorny problem due ...
Hisami Suzuki, Xiao Li, Jianfeng Gao
ICPR
2000
IEEE
14 years 29 days ago
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback
Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and rele...
Ying Wu, Qi Tian, Thomas S. Huang