8970 search results - page 304 / 1794 » Learning to Learn Causal Models |
183
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CIG
2005
IEEE
16 years 11 days ago
2005
IEEE
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
163
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
189
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IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...
165
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ACMICEC
2007
ACM
15 years 10 months ago
2007
ACM
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
150
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AAAI
2007
15 years 9 months ago
2007
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...