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CSDA
2007
102views more  CSDA 2007»
14 years 9 months ago
Smooth functions and local extreme values
Given a sample of n observations y1, . . . , yn at time points t1, . . . , tn we consider the problem of specifying a function ˜f such that ˜f • is smooth, • fits the data ...
A. Kovac
JCB
2007
191views more  JCB 2007»
14 years 9 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
JCM
2007
87views more  JCM 2007»
14 years 9 months ago
Optimization of Radio Measurements Exploitation in Wireless Mobile Networks
— Radio measurements play a crucial role in mobile wireless networks as they are input of Radio Resource Management (RRM) mechanisms, needed to assess mobile network reliability ...
Afef Ben Hadj Alaya-Feki, Alain Le Cornec, Eric Mo...
JAIR
1998
198views more  JAIR 1998»
14 years 9 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
PAMI
2007
253views more  PAMI 2007»
14 years 9 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán