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» Some Theory for Generalized Boosting Algorithms
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ICALP
2011
Springer
14 years 3 months 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»
14 years 10 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
15 years 6 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
15 years 4 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»
15 years 3 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...