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» Some Theory for Generalized Boosting Algorithms
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ICALP
2011
Springer
13 years 13 days ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
JSC
2010
155views more  JSC 2010»
13 years 7 months ago
Algorithms for solving linear systems over cyclotomic fields
We consider the problem of solving a linear system Ax = b over a cyclotomic field. What makes cyclotomic fields of special interest is that we can easily find a prime p that sp...
Liang Chen, Michael B. Monagan
ATAL
2007
Springer
14 years 3 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
DOLAP
2000
ACM
14 years 1 months ago
CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major co...
Lixin Fu, Joachim Hammer
STOC
1994
ACM
168views Algorithms» more  STOC 1994»
14 years 1 months ago
Fast algorithms for finding randomized strategies in game trees
Interactions among agents can be conveniently described by game trees. In order to analyze a game, it is important to derive optimal (or equilibrium) strategies for the di erent p...
Daphne Koller, Nimrod Megiddo, Bernhard von Stenge...