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AGI
2008
15 years 7 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
SIAMJO
2011
15 years 23 days ago
Approximating Semidefinite Packing Programs
In this paper we define semidefinite packing programs and describe an algorithm to approximately solve these problems. Semidefinite packing programs arise in many applications s...
Garud Iyengar, David J. Phillips, Clifford Stein
CEC
2007
IEEE
16 years 22 days ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
NIPS
2007
15 years 7 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
WCNC
2010
IEEE
15 years 10 months ago
Representation of Composite Fading and Shadowing Distributions by Using Mixtures of Gamma Distributions
Abstract—The Nakagami-lognormal distribution is the commonly used composite distribution for modeling multipath fading and shadowing. In this paper1 , simple and new form of dist...
Saman Atapattu, Chintha Tellambura, Hai Jiang