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AAAI
2010
13 years 9 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher
JMLR
2011
148views more  JMLR 2011»
13 years 4 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CVPR
2000
IEEE
14 years 11 months ago
Discriminant-EM Algorithm with Application to Image Retrieval
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
Ying Wu, Qi Tian, Thomas S. Huang
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 9 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
14 years 10 months ago
Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys
The suitability of Peer-to-Peer (P2P) approaches for fulltext web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retri...
Ivana Podnar, Martin Rajman, Toan Luu, Fabius Klem...