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LION
2010
Springer
190views Optimization» more  LION 2010»
14 years 2 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
HOTOS
2009
IEEE
14 years 1 months ago
FlashVM: Revisiting the Virtual Memory Hierarchy
Flash memory is the largest change to storage in recent history. To date, most research has focused on integrating flash as persistent storage in file systems, with little emphasi...
Mohit Saxena, Michael M. Swift
COLT
2006
Springer
14 years 1 months ago
Maximum Entropy Distribution Estimation with Generalized Regularization
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
Miroslav Dudík, Robert E. Schapire
AAAI
2008
14 years 11 days ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
NIPS
2007
13 years 11 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...