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COLT
1993
Springer
13 years 9 months ago
Choosing a Reliable Hypothesis
William S. Evans, Sridhar Rajagopalan, Umesh V. Va...
JAIR
2000
102views more  JAIR 2000»
13 years 4 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
ICSE
1997
IEEE-ACM
13 years 9 months ago
Choosing a Testing Method to Deliver Reliability
Testing methods are compared in a model where program failures are detected and the software changed to eliminate them. The question considered is whether it is better to use test...
Phyllis G. Frankl, Richard G. Hamlet, Bev Littlewo...
TR
2011
172views more  TR 2011»
12 years 12 months ago
Multi-State Reliability Systems Under Discrete Time Semi-Markovian Hypothesis
We consider repairable reliability systems with m components, the lifetimes and repair times of which are independent. The l-th component can be either in the failure state 0 or i...
Ourania Chryssaphinou, Nikolaos Limnios, Sonia Mal...
MCS
2010
Springer
13 years 7 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton