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NIPS
2003
15 years 8 months ago
Measure Based Regularization
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
Olivier Bousquet, Olivier Chapelle, Matthias Hein
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
16 years 27 days ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
KCAP
2005
ACM
16 years 5 days ago
A case study of wiki-based experience repository at a medium-sized software company
The paper reports on an exploratory case study where an organizational learning methodology was used to support knowledge sharing in a medium-sized distributed software developmen...
Thomas Chau, Frank Maurer
AGENTS
2001
Springer
15 years 11 months ago
Agents teaching agents to share meaning
The development of the semantic Web will require agents to use common domain ontologies to facilitate communication of conceptual knowledge. However, the proliferation of domain on...
Andrew B. Williams, Zijian Ren