1176 search results - page 103 / 236 » Sparse reward processes |
133
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JMLR
2002
15 years 3 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
152
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
175
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NIPS
2008
15 years 5 months ago
2008
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
133
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CGF
2005
15 years 4 months ago
2005
The point set is a flexible surface representation suitable for both geometry processing and real-time rendering. In most applications, the control of the point cloud density is c...
150
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...