4366 search results - page 163 / 874 » Learning and Smoothed Analysis |
AIME
2003
Springer
14 years 1 months ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
ECTEL
2006
Springer
13 years 11 months ago
2006
Springer
More and more CoPs have chosen virtual environments and services to support their activities. However, recent research has underlined several problems: the lack of adequate scaffol...
AI
1998
Springer
13 years 7 months ago
1998
Springer
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...