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» Algorithm Selection using Reinforcement Learning
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JMLR
2012
12 years 1 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
IPPS
2007
IEEE
14 years 5 months ago
Adaptive Predictor Integration for System Performance Prediction
The integration of multiple predictors promises higher prediction accuracy than the accuracy that can be obtained with a single predictor. The challenge is how to select the best ...
Jian Zhang, Renato J. O. Figueiredo
SIGIR
1997
ACM
14 years 3 months ago
Learning Routing Queries in a Query Zone
Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit this property of word usage to improve document routing. W...
Amit Singhal, Mandar Mitra, Chris Buckley
CVPR
2004
IEEE
15 years 1 months ago
Detecting and Reading Text in Natural Scenes
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
Xiangrong Chen, Alan L. Yuille
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 11 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto