نتایج جستجو برای: probability vector

تعداد نتایج: 408882  

2000
Jun Liu Xiaoyan Zhu Bin Jia

A semi-continuous segmental probability model, which can be considered as a special form of continuous mixture segmental probability model with continuous output probability density functions sharing in a mixture Gaussian density codebook, is proposed in this paper. The amount of training data required, as well as the computational complexity of the semi-continuous segmental probability model(S...

2003
M. A. Tchesnokov J. Molenaar J. J. M. Slot

Bond vector probability distribution function of bulk molecules. Abstract: In our previous work we studied dynamics of the interfacial layer between flowing polymer melt and a solid wall. We showed that the ensemble-averaged behavior of the polymer molecules grafted on the wall could be successfully described in terms of the so-called bond vector probability distribution function (BVPDF). As wa...

Journal: :Journal of Machine Learning Research 2017
Matthew Norton Alexander Mafusalov Stan Uryasev

In this paper, we show that the popular C-SVM, soft-margin support vector classifier is equivalent to minimization of Buffered Probability of Exceedance (bPOE) by introducing a new SVM formulation, called the EC-SVM, which is derived as a bPOE minimization problem. Since it is derived from a simple bPOE minimization problem, the EC-SVM is simple to interpret with a meaningful free parameter, op...

2002
Tieyan FU Qixiu HU Guangyou XU

Support Vector Machines (SVMs) is basically a discriminative classifiers, while it is hopefully that incorporating probability into SVMs will achieve better performance. This paper briefly reviews some of the methods that can be used to carry out the combination. By following one of them, we make it suitable for the task of speaker recognition, and Gaussian Mixture Models (GMM) is used as the g...

2006
Luis Buera Eduardo Lleida Antonio Miguel Alfonso Ortega Óscar Saz

In previous works, Multi-Environment Model based LInear Normalization, MEMLIN, and Phoneme-Dependent MEMLIN, PD-MEMLIN, were presented and they were proved to be effective to compensate environment mismatch. Both are empirical feature vector normalization techniques which model clean and noisy spaces with Gaussian Mixture Models, GMMs, and the probability of the clean model Gaussian, given the ...

2012
Robin H. Miller Penny Masuoka Terry A. Klein Heung-Chul Kim Todd Somer John Grieco

BACKGROUND Culex tritaeniorhynchus is the primary vector of Japanese encephalitis virus (JEV), a leading cause of encephalitis in Asia. JEV is transmitted in an enzootic cycle involving large wading birds as the reservoirs and swine as amplifying hosts. The development of a JEV vaccine reduced the number of JE cases in regions with comprehensive childhood vaccination programs, such as in Japan ...

Journal: :IEEE Trans. Information Theory 2000
Steven Kay

A new proof of the class-specific feature theorem is given. The proof makes use of the observed data as opposed to the set of sufficient statistics as in the original formulation. We prove the theorem for the classical case, in which the parameter vector is deterministic and known, as well as for the Bayesian case, in which the parameter vector is modeled as a random vector with known prior pro...

Journal: :ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2014

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