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135
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QEST
2006
IEEE
15 years 11 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...
JCDL
2006
ACM
75views Education» more  JCDL 2006»
15 years 11 months ago
Quantifying the accuracy of relational statements in Wikipedia: a methodology
The Perseus Project at Tufts University produces tools to enhance the study of humanities texts. Perseus’ new named-entity browser lets users browse an index of references to pe...
Gabriel Weaver, Barbara Strickland, Gregory Crane
VALUETOOLS
2006
ACM
15 years 11 months ago
Splitting with weight windows to control the likelihood ratio in importance sampling
Importance sampling (IS) is the most widely used efficiency improvement method for rare-event simulation. When estimating the probability of a rare event, the IS estimator is the ...
Pierre L'Ecuyer, Bruno Tuffin
113
Voted
CEC
2005
IEEE
15 years 10 months ago
Multidimensional epistasis and the advantage of sex
Kondrashov and Kondrashov (2001) point out that, although common in population genetic models, epistatic systems where the fitness of a genotype is a non-linear function of the num...
Richard A. Watson, John Wakeley
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 10 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao