3054 search results - page 412 / 611 » An fMRI Activation Method Using Complex Data |
104
Voted
CIDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
91
Voted
WSC
1998
15 years 3 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
114
Voted
MICCAI
2010
Springer
15 years 1 months ago
2010
Springer
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
123
Voted
NIPS
2007
15 years 4 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
130
Voted
AIED
2007
Springer
15 years 8 months ago
2007
Springer
In many intelligent tutoring systems, a detailed model of the task domain is constructed and used to provide students with assistance and direction. Reciprocal tutoring systems, h...