2829 search results - page 390 / 566 » Regularization Methods for Additive Models |
161
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ICONIP
1998
15 years 7 months ago
1998
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
180
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WSC
2000
15 years 7 months ago
2000
This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
168
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UAI
1993
15 years 7 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
182
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UAI
1996
15 years 7 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
164
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CGF
2007
15 years 6 months ago
2007
This paper presents a novel method for real-time homogenous translucent material editing under fixed illumination. We consider the complete analytic BSSRDF model proposed by Jens...