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AI
2002
Springer
15 years 2 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
IAT
2010
IEEE
15 years 10 days ago
Using Negotiation to Reduce Redundant Autonomous Mobile Program Movements
Distributed load managers exhibit thrashing where tasks are repeatedly moved between locations due to incomplete global load information. This paper shows that systems of Autonomou...
Natalia Chechina, Peter King, Phil Trinder
ACL
2012
13 years 4 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
IJON
2002
123views more  IJON 2002»
15 years 2 months ago
N-bit parity neural networks: new solutions based on linear programming
In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer. The activation function used i...
Derong Liu, Myron E. Hohil, Stanley H. Smith
TRIDENTCOM
2005
IEEE
15 years 8 months ago
A Geography-Aware Scalable Community Wireless Network Test Bed
Wireless mesh networks have increasingly become an object of interest in recent years as a strong alternative to purely wired infrastructure networks and purely mobile wireless ne...
Bow-Nan Cheng, Shivkumar Kalyanaraman, Max Klein