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UAI
2001
13 years 8 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
IPPS
2003
IEEE
14 years 23 days ago
Using Hybrid Alignment for Iterative Sequence Database Searches
Progressive sequence model refinement by means of iterative searches is an effective technique for high sensitivity database searches and is currently employed in popular tools s...
Yuheng Li, Mario Lauria, Ralf Bundschuh
KR
2000
Springer
13 years 11 months ago
Iterated Belief Change in the Situation Calculus
The ability to reason about action and change has long been considered a necessary component for any intelligent system. Many proposals have been offered in the past to deal with ...
Steven Shapiro, Maurice Pagnucco, Yves Lespé...
PAA
2010
13 years 5 months ago
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
Robert F. Harrison, Kitsuchart Pasupa
SYNASC
2007
IEEE
105views Algorithms» more  SYNASC 2007»
14 years 1 months ago
Decompositions of Natural Numbers: From a Case Study in Mathematical Theory Exploration
In this technical report we present the proofs of properties appearing when solving the problem of prime decomposition of natural numbers using a scheme-based systematic exploratio...
Adrian Craciun, Madalina Hodorog