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» Learning and Applying Competitive Strategies
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109
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RAS
2007
94views more  RAS 2007»
15 years 2 days ago
Multi-method learning and assimilation
Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new str...
Shinya Takamuku, Ronald C. Arkin
73
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Range Data Approximation for Mobile Robot by Using CAN2
— In this article, we apply the competitive associative net called CAN2 to the processing of the range data of indoor environment acquired by a mobile robot, where the CAN2 is a ...
Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hi...
100
Voted
NAACL
2010
14 years 10 months ago
Distributed Training Strategies for the Structured Perceptron
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Ryan T. McDonald, Keith Hall, Gideon Mann
132
Voted
ATAL
2007
Springer
15 years 6 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
IJCNLP
2005
Springer
15 years 6 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou