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FLAIRS
2003
13 years 9 months ago
Learning Opening Strategy in the Game of Go
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Timothy Huang, Graeme Connell, Bryan McQuade
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
LISA
1994
13 years 9 months ago
The Group Administration Shell and the GASH Network Computing Environment
Managing large scale UNIX networks so that users can use resources on multiple systems is traditionally performed using NIS, NFS, and DNS. Proper use of these tools requires exact...
Jonathan Abbey
IPPS
2003
IEEE
14 years 1 months ago
Contact-Based Architecture for Resource Discovery (CARD) in Large Scale MANets
In this paper we propose a novel architecture, CARD, for resource discovery in large scale MANets that may scale up to thousands of nodes. Our mechanism is suitable for resource d...
Ahmed Helmy, Saurabh Garg, Priyatham Pamu, Nitin N...
JCM
2006
95views more  JCM 2006»
13 years 7 months ago
A Learning-based Adaptive Routing Tree for Wireless Sensor Networks
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
Ying Zhang, Qingfeng Huang