354 search results - page 42 / 71 » Estimating random variables from random sparse observations |
NIPS
1998
13 years 10 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
HICSS
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— The electricity price duration curve (EPDC) represents the probability distribution function of the electricity price considered as a random variable. The price uncerta...
COLING
1996
13 years 10 months ago
1996
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
TSP
2010
13 years 3 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...
DIS
2009
Springer
14 years 3 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...