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NIPS
1998
14 years 11 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
CEC
2010
IEEE
14 years 11 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
ENTCS
2008
110views more  ENTCS 2008»
14 years 9 months ago
Performance Evaluation of Elastic GALS Interfaces and Network Fabric
This paper reports on the design of a test chip built to test a) a new latency insensitive network fabric protocol and circuits, b) a new synchronizer design, and c) how efficient...
JunBok You, Yang Xu, Hosuk Han, Kenneth S. Stevens
IAJIT
2008
134views more  IAJIT 2008»
14 years 9 months ago
A Dynamic Traffic Shaping Technique for a Scalable QoS in ATM Networks
: Traffic shaping function becomes imperative for the new broadband services that are being deployed in order to avoid information loss, to provide the end users multiple traffic o...
Francis Joseph Ogwu, Mohammad Talib, Ganiyu Aderou...
TSP
2008
113views more  TSP 2008»
14 years 9 months ago
Avoiding Divergence in the Shalvi-Weinstein Algorithm
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ShalviWeinstein algorithm (SWA). It is well-known that SWA presents a higher co...
Maria D. Miranda, Magno T. M. Silva, Victor H. Nas...