889 search results - page 20 / 178 » Observational Learning in Random Networks |
116
Voted
AIED
2009
Springer
15 years 7 months ago
2009
Springer
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
115
Voted
DMIN
2006
15 years 1 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
93
Voted
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
130
Voted
Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
121
click to vote
NIPS
2008
15 years 1 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...