4781 search results - page 71 / 957 » Online algorithms for network design |
105
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AUSAI
2005
Springer
15 years 7 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
NIPS
2003
15 years 2 months ago
2003
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
124
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IPPS
1997
IEEE
15 years 5 months ago
1997
IEEE
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
103
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KDD
2009
ACM
15 years 8 months ago
2009
ACM
In this paper we propose a utility model that accounts for both sales and branding advertisers. We first study the computational complexity of optimization problems related to bo...
118
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ICONIP
2008
15 years 2 months ago
2008
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...