467 search results - page 62 / 94 » Learning Mixtures of DAG Models |
157
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
157
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
143
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
163
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
142
Voted
TVCG
2012
13 years 6 months ago
2012
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...