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» Learning of Agents with Limited Resources
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 5 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
102
Voted
CORR
2008
Springer
105views Education» more  CORR 2008»
15 years 20 days ago
Robust Machine Learning Applied to Terascale Astronomical Datasets
We present recent results from the LCDM3 collaboration between UIUC Astronomy and NCSA to deploy supercomputing cluster resources and machine learning algorithms for the mining of ...
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers
78
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Music preference learning with partial information
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
120
Voted
JMLR
2010
135views more  JMLR 2010»
14 years 7 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar
ISNN
2007
Springer
15 years 6 months ago
Hybrid Pipeline Structure for Self-Organizing Learning Array
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
Janusz A. Starzyk, Mingwei Ding, Yinyin Liu