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» Two Algorithms for Inducing Causal Models from Data
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83
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BMCBI
2010
185views more  BMCBI 2010»
14 years 9 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
109
Voted
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
15 years 3 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet
SAC
2009
ACM
15 years 4 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
83
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KDD
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 3 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
ISBI
2006
IEEE
15 years 10 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...