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» Modelling Learning Subjects as Relationships
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ICASSP
2007
IEEE
15 years 9 months ago
Relevance Network Modeling for Muscle Association Pattern in Reaching Movements
Our purpose is to study how different muscles collaborate together to efficiently create a smooth, coordinated reaching movement. In the EMG literature, it has been commonplace to...
Z. Jane Wang, Martin J. McKeown
122
Voted
HOLOMAS
2005
Springer
15 years 10 months ago
An Information-Based Agent
Information-based agency is founded on two observations: everything in an agent’s world model is uncertain, and everything that an agent communicates gives away valuable informa...
John K. Debenham
ICML
2005
IEEE
16 years 6 months ago
Predicting good probabilities with supervised learning
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
Alexandru Niculescu-Mizil, Rich Caruana
CVPR
2010
IEEE
16 years 1 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
AI
1999
Springer
15 years 5 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda