801 search results - page 98 / 161 » Estimating Likelihoods for Topic Models |
81
Voted
NOLISP
2007
Springer
15 years 6 months ago
2007
Springer
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
115
Voted
ACMSE
1992
ACM
15 years 4 months ago
1992
ACM
A scheme for disk subsystem performance enhancement that is based on (virtual) cylinder remapping is proposed. A natural workload on a real system is measured, and statistical tes...
135
Voted
NECO
2011
14 years 7 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
115
Voted
ICML
2008
IEEE
16 years 1 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...
92
Voted
CLEF
2009
Springer
15 years 1 months ago
2009
Springer
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...