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» Learning From Ambiguous Examples
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112
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COLT
2005
Springer
15 years 8 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
102
Voted
FOCS
2003
IEEE
15 years 7 months ago
Learning DNF from Random Walks
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell,...
IJCAI
2001
15 years 3 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
ICML
2008
IEEE
16 years 3 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
WWW
2008
ACM
16 years 3 months ago
Keyword extraction for contextual advertisement
As the largest online marketplace, eBay strives to promote its inventory throughout the Web via different types of online advertisement. Contextually relevant links to eBay assets...
Xiaoyuan Wu, Alvaro Bolivar