867 search results - page 108 / 174 » The Generalized Maximum Coverage Problem |
GCB
2007
Springer
13 years 11 months ago
2007
Springer
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
BMEI
2009
IEEE
13 years 9 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
HAPTICS
2005
IEEE
14 years 1 months ago
2005
IEEE
Rendering stiff virtual objects remains a core challenge in the field of haptics. A study of this problem is presented, which relates the maximum achievable object stiffness to t...