4591 search results - page 169 / 919 » Learning from Dyadic Data |
135
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EMNLP
2006
15 years 5 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
137
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ISMB
2000
15 years 5 months ago
2000
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
174
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
133
Voted
KDD
1998
ACM
15 years 8 months ago
1998
ACM
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
145
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...