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NIPS
2004
13 years 10 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
13 years 14 days 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
14 years 3 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
14 years 27 days 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
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 3 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