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ESANN
2008
15 years 5 months ago
A Method for Time Series Prediction using a Combination of Linear Models
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
David Martínez-Rego, Oscar Fontenla-Romero,...
149
Voted
UAI
2008
15 years 5 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
152
Voted
FLAIRS
2003
15 years 5 months ago
Design and Implementation of Anatomic Pathology Database System
This paper describes the design and implementation of the University of Florida’s Anatomic Pathology Database System. The first phase of the system consists of the patient recor...
Changwoo Yoon, James K. Massey, William H. Donnell...
COMCOM
2008
99views more  COMCOM 2008»
15 years 4 months ago
Performance implications of fluctuating server capacity
In this paper, we consider a variant of an M/M/c/c loss system with fluctuating server capacity. Given a set of primary inputs, such as arrival rate, service rate, and capacity fl...
Jingxiang Luo, Carey L. Williamson
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 3 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...