87 search results - page 12 / 18 » Learning Parameterized State Machine Model for Integration T... |
COLT
2000
Springer
15 years 1 months ago
2000
Springer
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
COMPSYSTECH
2007
15 years 1 months ago
2007
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
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FUIN
2011
14 years 1 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
AIEDU
2005
14 years 9 months ago
2005
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...