3837 search results - page 192 / 768 » Learning Approximate Consistencies |
200
Voted
ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
219
Voted
ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
179
Voted
JMLR
2002
15 years 6 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
186
Voted
JGO
2010
15 years 5 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
189
Voted
CVPR
2006
IEEE
16 years 9 months ago
2006
IEEE
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...