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NECO
2000
13 years 7 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
LREC
2010
13 years 9 months ago
2010
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
NN
2006
Springer
13 years 7 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
FASE
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
ICSM
2005
IEEE
14 years 1 months ago
2005
IEEE
Automated cost-effective test strategies are needed to provide reliable, secure, and usable web applications. As a software maintainer updates an application, test cases must accu...