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» Using Prior Knowledge to Improve Distributed Hill Climbing
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GIS
2008
ACM
14 years 7 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
JIFS
2007
102views more  JIFS 2007»
13 years 6 months ago
Knowledge propagation in a distributed omnidirectional vision system
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...
Emanuele Menegatti, C. Simionato, Stefano Tonello,...
KI
2007
Springer
13 years 6 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
ICML
2007
IEEE
14 years 6 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
13 years 4 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...