1548 search results - page 110 / 310 » Supervised Tensor Learning |
140
click to vote
FOIKS
2008
Springer
15 years 4 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
127
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
143
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
125
Voted
IJCAI
2001
15 years 3 months ago
2001
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
120
click to vote
FLAIRS
1998
15 years 3 months ago
1998
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...