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UAI
1997
15 years 9 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
PAMI
2008
162views more  PAMI 2008»
15 years 7 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
ICDE
2004
IEEE
121views Database» more  ICDE 2004»
16 years 9 months ago
Online Amnesic Approximation of Streaming Time Series
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractic...
Themistoklis Palpanas, Michail Vlachos, Eamonn J. ...
GLVLSI
2009
IEEE
142views VLSI» more  GLVLSI 2009»
16 years 2 months ago
Hardware-accelerated gradient noise for graphics
A synthetic noise function is a key component of most computer graphics rendering systems. This pseudo-random noise function is used to create a wide variety of natural looking te...
Josef B. Spjut, Andrew E. Kensler, Erik Brunvand
CDC
2008
IEEE
16 years 2 months ago
Convex duality and entropy-based moment closures: Characterizing degenerate densities
A common method for constructing a function from a finite set of moments is to solve a constrained minimization problem. The idea is to find, among all functions with the given ...
Cory D. Hauck, C. David Levermore, André L....