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» Evaluating algorithms that learn from data streams
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PLDI
2005
ACM
16 years 8 days ago
Programming by sketching for bit-streaming programs
This paper introduces the concept of programming with sketches, an approach for the rapid development of high-performance applications. This approach allows a programmer to write ...
Armando Solar-Lezama, Rodric M. Rabbah, Rastislav ...
BMCBI
2006
112views more  BMCBI 2006»
15 years 6 months ago
A correlated motif approach for finding short linear motifs from protein interaction networks
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kion...
UAI
2004
15 years 8 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
CVPR
2007
IEEE
16 years 1 months ago
Secure Biometric Templates from Fingerprint-Face Features
Since biometric data cannot be easily replaced or revoked, it is important that biometric templates used in biometric applications should be constructed and stored in a secure way...
Yagiz Sutcu, Qiming Li, Nasir D. Memon
194
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 8 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis