204 search results - page 29 / 41 » Learning locally minimax optimal Bayesian networks |
NIPS
1992
14 years 10 months ago
1992
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
AI
2005
Springer
14 years 9 months ago
2005
Springer
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
BTW
2005
Springer
15 years 3 months ago
2005
Springer
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
NIPS
1998
14 years 10 months ago
1998
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
JMLR
2010
14 years 4 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...