1080 search results - page 49 / 216 » Hedging predictions in machine learning |
167
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
167
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ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
177
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ALT
2008
Springer
16 years 3 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
187
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
166
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...