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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 1 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
POPL
2010
ACM
16 years 1 months ago
Automatically Generating Instruction Selectors Using Declarative Machine Descriptions
Despite years of work on retargetable compilers, creating a good, reliable back end for an optimizing compiler still entails a lot of hard work. Moreover, a critical component of ...
João Dias, Norman Ramsey
PPOPP
2010
ACM
16 years 1 months ago
Scaling LAPACK panel operations using parallel cache assignment
In LAPACK many matrix operations are cast as block algorithms which iteratively process a panel using an unblocked algorithm and then update a remainder matrix using the high perf...
Anthony M. Castaldo, R. Clint Whaley
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 1 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 1 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
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