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» Parameterized Complexity and Approximation Algorithms
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TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ISAAC
2003
Springer
117views Algorithms» more  ISAAC 2003»
16 years 5 days ago
Approximate Regular Expression Searching with Arbitrary Integer Weights
Abstract. We present a bit-parallel technique to search a text of length n for a regular expression of m symbols permitting k differences in worst case time O(mn/ logk s), where s...
Gonzalo Navarro
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 7 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
AGI
2008
15 years 8 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov
ECRTS
2009
IEEE
15 years 4 months ago
Approximate Bandwidth Allocation for Compositional Real-Time Systems
Allocation of bandwidth among components is a fundamental problem in compositional real-time systems. Stateof-the-art algorithms for bandwidth allocation use either exponential-ti...
Nathan Fisher, Farhana Dewan