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QEST
2006
IEEE
16 years 1 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»
16 years 1 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
184
Voted
VALUETOOLS
2006
ACM
16 years 1 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
160
Voted
CEC
2005
IEEE
16 years 1 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
191
Voted
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
16 years 1 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