Sciweavers

2740 search results - page 62 / 548
» Approximating Component Selection
Sort
View
CSDA
2010
172views more  CSDA 2010»
14 years 10 months ago
Testing for two components in a switching regression model
We consider switching regression models with independent or Markov-dependent regime. Based on the modified likelihood ratio test (LRT) statistic by Chen, Chen and Kalbfleisch (200...
Jörn Dannemann, Hajo Holzmann
ENGL
2006
84views more  ENGL 2006»
14 years 10 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
ICCAD
2003
IEEE
123views Hardware» more  ICCAD 2003»
15 years 6 months ago
A Hybrid Approach to Nonlinear Macromodel Generation for Time-Varying Analog Circuits
Modeling frequency-dependent nonlinear characteristics of complex analog blocks and subsystems is critical for enabling efficient verification of mixed-signal system designs. Rece...
Peng Li, Xin Li, Yang Xu, Lawrence T. Pileggi
CIKM
2009
Springer
15 years 4 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
GLOBECOM
2007
IEEE
15 years 4 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li