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» Learning minimal abstractions
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98
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NIPS
2008
15 years 2 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
ACE
2004
182views Education» more  ACE 2004»
15 years 2 months ago
Learning to Program: Spreadsheets, Scripting and HCI
An examination of some recent programming texts indicates that the complexities of modern programming languages and environments have replaced the study of algorithms and programm...
Peter Warren
112
Voted
ICVGIP
2004
15 years 2 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
102
Voted
CORR
2008
Springer
147views Education» more  CORR 2008»
15 years 27 days ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
106
Voted
CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 23 days ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...