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117
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CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 3 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
PPSN
2010
Springer
15 years 1 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
175
Voted
CVPR
2012
IEEE
13 years 5 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
148
Voted
DSN
2007
IEEE
15 years 7 months ago
Augmenting Branch Predictor to Secure Program Execution
Although there are various ways to exploit software vulnerabilities for malicious attacks, the attacks always result in unexpected behavior in program execution, deviating from wh...
Yixin Shi, Gyungho Lee
125
Voted
BMCBI
2008
105views more  BMCBI 2008»
15 years 3 months ago
Novel computational methods for increasing PCR primer design effectiveness in directed sequencing
Background: Polymerase chain reaction (PCR) is used in directed sequencing for the discovery of novel polymorphisms. As the first step in PCR directed sequencing, effective PCR pr...
Kelvin Li, Anushka Brownley, Timothy B. Stockwell,...