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CSDA
2006
304views more  CSDA 2006»
13 years 8 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
ECML
2005
Springer
14 years 2 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
SIGCOMM
1995
ACM
14 years 12 hour ago
Performance Bounds in Communication Networks with Variable-Rate Links
In most network models for quality of service support, the communication links interconnecting the switches and gateways are assumed to have fixed bandwidth and zero error rate. T...
Kam Lee
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Fuzzy power factor control in a variable load circuit
This paper advances a fuzzy control strategy of the phase angle between the voltage and the current of a variable RL load using the system introduced in [3].- This control method ...
Constantin Suciu, Mohan Kansara, John Redgate
INFORMS
2000
128views more  INFORMS 2000»
13 years 8 months ago
A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization
We develop a variant of the Nelder-Mead (NM) simplex search procedure for stochastic simulation optimization that is designed to avoid many of the weaknesses encumbering such dire...
David G. Humphrey, James R. Wilson