Sciweavers

6253 search results - page 1186 / 1251
» Use Case Modeling Guidelines
Sort
View
MST
2000
86views more  MST 2000»
15 years 3 months ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
PAMI
1998
116views more  PAMI 1998»
15 years 2 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
TMI
2002
96views more  TMI 2002»
15 years 2 months ago
Imaging of spatiotemporal coincident states by DC optical tomography
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
Harry L. Graber, Yaling Pei, Randall L. Barbour
NECO
2007
129views more  NECO 2007»
15 years 2 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
FUIN
2008
108views more  FUIN 2008»
15 years 1 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
« Prev « First page 1186 / 1251 Last » Next »