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» Causal inference using the algorithmic Markov condition
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ENTCS
2007
96views more  ENTCS 2007»
14 years 9 months ago
Deduction, Strategies, and Rewriting
Automated deduction methods should be specified not procedurally, but declaratively, as inference systems which are proved correct regardless of implementation details. Then, di...
Steven Eker, Narciso Martí-Oliet, Jos&eacut...
BMCBI
2006
223views more  BMCBI 2006»
14 years 10 months ago
PSMIX: an R package for population structure inference via maximum likelihood method
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Baolin Wu, Nianjun Liu, Hongyu Zhao
IPPS
2008
IEEE
15 years 4 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
ICML
2003
IEEE
15 years 10 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
TACAS
2007
Springer
108views Algorithms» more  TACAS 2007»
15 years 4 months ago
State of the Union: Type Inference Via Craig Interpolation
The ad-hoc use of unions to encode disjoint sum types in C programs and the inability of C’s type system to check the safe use of these unions is a long standing source of subtle...
Ranjit Jhala, Rupak Majumdar, Ru-Gang Xu