3837 search results - page 160 / 768 » Learning Approximate Consistencies |
139
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
175
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
156
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
140
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JIRS
2000
15 years 4 months ago
2000
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
141
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...