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» Adaptive Selectivity Estimation Using Query Feedback
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 10 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
KDD
2008
ACM
207views Data Mining» more  KDD 2008»
14 years 10 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
ECCV
2006
Springer
14 years 11 months ago
Unsupervised Patch-Based Image Regularization and Representation
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...
Charles Kervrann, Jérôme Boulanger
CASES
2004
ACM
14 years 1 months ago
Reducing energy consumption of queries in memory-resident database systems
The tremendous growth of system memories has increased the capacities and capabilities of memory-resident embedded databases, yet current embedded databases need to be tuned in or...
Jayaprakash Pisharath, Alok N. Choudhary, Mahmut T...
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 5 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama