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ICML
2006
IEEE
16 years 7 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
ICML
2004
IEEE
16 years 7 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
ICML
2003
IEEE
16 years 7 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ICSE
2008
IEEE-ACM
16 years 7 months ago
A tale of four kernels
The Freebsd, gnu/Linux, Solaris, and Windows operating systems have kernels that provide comparable facilities. Interestingly, their code bases share almost no common parts, while...
Diomidis Spinellis
ICSE
2008
IEEE-ACM
16 years 7 months ago
Calysto: scalable and precise extended static checking
Automatically detecting bugs in programs has been a long-held goal in software engineering. Many techniques exist, trading-off varying levels of automation, thoroughness of covera...
Domagoj Babic, Alan J. Hu
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