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ICCS
2004
Springer
16 years 19 days ago
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
Didier Lucor, Chau-Hsing Su, George E. Karniadakis
NIPS
2000
15 years 8 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
AIIA
2007
Springer
16 years 1 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
DAC
2002
ACM
16 years 8 months ago
A physical model for the transient response of capacitively loaded distributed rlc interconnects
Rapid approximation of the transient response of high-speed global interconnects is needed to estimate the time delay, crosstalk, and overshoot in a GSI multilevel wiring network....
Raguraman Venkatesan, Jeffrey A. Davis, James D. M...
ICML
2006
IEEE
16 years 8 months ago
A graphical model for predicting protein molecular function
We present a simple statistical model of molecular function evolution to predict protein function. The model description encodes general knowledge of how molecular function evolve...
Barbara E. Engelhardt, Michael I. Jordan, Steven E...