3694 search results - page 230 / 739 » Stochastic complexity in learning |
139
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IWINAC
2007
Springer
16 years 2 days ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
174
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ACMICEC
2006
ACM
15 years 9 months ago
2006
ACM
In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in...
152
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
167
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AAAI
2007
15 years 8 months ago
2007
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
219
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JMLR
2012
13 years 8 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...