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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
15 years 8 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
JSW
2007
81views more  JSW 2007»
15 years 6 months ago
Nonblocking Distributed Replication of Versioned Files
— In this paper, we propose a distributed data storage framework that supports unrestricted offline access. The system does not explicitly distinguish between connected and disc...
Lukás Hejtmánek, Ludek Matyska
191
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NETWORKING
2004
15 years 8 months ago
Improving Distributed Firewalls Performance through Vertical Load Balancing
In this paper we present an extension to an existing hash based packet classification technique in order to improve its performance in a distributed network access control environm...
Olivier Paul
NECO
2010
97views more  NECO 2010»
15 years 5 months ago
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto...