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ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
HAPTICS
2009
IEEE
14 years 2 months ago
Role determination in human-human interaction
Physical human-robot interaction can be significantly improved when being aware about the role each partner takes in a joint manipulation task. This holds especially in computer ...
Nikolay Stefanov, Angelika Peer, Martin Buss
CRV
2007
IEEE
146views Robotics» more  CRV 2007»
14 years 1 months ago
INVICON: A Toolkit for Knowledge-Based Control of Vision Systems
To perform as desired in a dynamic environment a vision system must adapt to a variety of operating conditions by selecting vision modules, tuning their parameters, and controllin...
Olena Borzenko, Yves Lespérance, Michael Je...
NN
2002
Springer
113views Neural Networks» more  NN 2002»
13 years 7 months ago
Control of exploitation-exploration meta-parameter in reinforcement learning
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
Shin Ishii, Wako Yoshida, Junichiro Yoshimoto
CGF
1998
213views more  CGF 1998»
13 years 7 months ago
Interactive Construction and Animation of Layered Elastically Deformable Characters
An interactive system is described for creating and animating deformable 3D characters. By using a hybrid layered model of kinematic and physics-based components together with an ...
Russell Turner, Enrico Gobbetti