86 search results - page 15 / 18 » Naive Bayes models for probability estimation |
ICONIP
2007
13 years 9 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
TSP
2010
13 years 2 months ago
2010
In this paper, we propose the complex Gaussian scale mixture (CGSM) to model the complex wavelet coefficients as an extension of the Gaussian scale mixture (GSM), which is for real...
AISS
2010
13 years 5 months ago
2010
This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address ...
NLE
2010
13 years 6 months ago
2010
Lapata and Brew (2004) (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin (1993) verbs (hereafter...
NECO
2011
13 years 2 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...