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120
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NIPS
2004
15 years 4 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
ICANN
2011
Springer
14 years 6 months ago
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...
Junpei Zhong, Cornelius Weber, Stefan Wermter
IJCNN
2006
IEEE
15 years 9 months ago
Patterns, Hypergraphs and Embodied General Intelligence
—It is proposed that the creation of Artificial General Intelligence (AGI) at the human level and ultimately beyond is a problem addressable via integrating computer science algo...
Ben Goertzel
GROUP
2007
ACM
15 years 7 months ago
A metrics framework for evaluating group formation
Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formati...
Asma Ounnas, David E. Millard, Hugh C. Davis
143
Voted
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 9 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao