394 search results - page 19 / 79 » A Study of Empirical Learning for an Involved Problem |
112
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NIPS
2004
14 years 11 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
SEKE
2004
Springer
15 years 2 months ago
2004
Springer
One of the challenging research problems in validating a software engineering methodology (SEM), and a part of its validation process, is to answer “How to fairly collect, presen...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
120
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JMLR
2010
14 years 4 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
CEC
2005
IEEE
14 years 11 months ago
2005
IEEE
Abstract- Significant operational cost and energy savings can be achieved by optimising the schedules of pumps, which pump water from source reservoirs to storage tanks, in Water ...