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ICML
2000
IEEE
16 years 7 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
FUN
2007
Springer
80views Algorithms» more  FUN 2007»
15 years 10 months ago
The Traveling Beams Optical Solutions for Bounded NP-Complete Problems
Architectures for optical processors designed to solve bounded instances of NP-Complete problems are suggested. One approach mimics the traveling salesman by traveling beams that ...
Shlomi Dolev, Hen Fitoussi
UAI
2004
15 years 7 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
FOCM
2002
83views more  FOCM 2002»
15 years 5 months ago
A Rigorous ODE Solver and Smale's 14th Problem
We present an algorithm for computing rigorous solutions to a large class of ordinary differential equations. The main algorithm is based on a partitioning process and the use of i...
Warwick Tucker
HIS
2009
15 years 3 months ago
A Memetic Algorithm for the Generalized Minimum Vertex-Biconnected Network Problem
Abstract--The generalized minimum vertex-biconnected network problem plays an important role in the design of survivable backbone networks that should be fault tolerant to single c...
Bin Hu, Günther R. Raidl