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98
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NIPS
2004
15 years 2 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay
100
Voted
AR
2004
82views more  AR 2004»
15 years 20 days ago
Multiple tasks manipulation for a robotic manipulator
Robotic manipulators can execute multiple tasks precisely at the same time and, thus, the task-priority scheme plays an important role in implementing multiple tasks. Until now, se...
Youngjin Choi, Yonghwan Oh, Sang-Rok Oh, Jonghoon ...
106
Voted
ACL
2004
15 years 2 months ago
Evaluating Centering-Based Metrics of Coherence
We use a reliably annotated corpus to compare metrics of coherence based on Centering Theory with respect to their potential usefulness for text structuring in natural language ge...
Nikiforos Karamanis, Massimo Poesio, Chris Mellish...
ICPR
2004
IEEE
16 years 1 months ago
A Trainable Low-level Feature Detector
We introduce a trainable system that simultaneously filters and classifies low-level features into types specified by the user. The system operates over full colour images, and ou...
John P. Collomosse, Martin Owen, Peter M. Hall
106
Voted
ICPR
2004
IEEE
16 years 1 months ago
Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
Karl F. MacDorman, Rawichote Chalodhorn, Minoru As...