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NIPS
2003
13 years 9 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
CN
2007
149views more  CN 2007»
13 years 7 months ago
Adaptive congestion protocol: A congestion control protocol with learning capability
There is strong evidence that the current implementation of TCP will perform poorly in future high speed networks. To address this problem many congestion control protocols have b...
Marios Lestas, Andreas Pitsillides, Petros A. Ioan...
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 17 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ICCCN
2007
IEEE
13 years 11 months ago
Implementation of a Wireless Mesh Network Testbed for Traffic Control
Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, flexible and low-cost alternative to wired communication infrastructures in many ...
Kun-Chan Lan, Zhe Wang, Rodney Berriman, Tim Moors...
LCN
2005
IEEE
14 years 1 months ago
Implementation and Performance Analysis of a Packet Scheduler on a Programmable Network Processor
— The problem of achieving fairness in the allocation of the bandwidth resource on a link shared by multiple flows of traffic has been extensively researched over the last deca...
Fariza Sabrina, Salil S. Kanhere, Sanjay Jha