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SAB
2010
Springer
187views Optimization» more  SAB 2010»
13 years 6 months ago
Learning Robot-Environment Interaction Using Echo State Networks
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
Mohamed Oubbati, Bahram Kord, Günther Palm
ICML
1997
IEEE
14 years 8 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
ICML
2002
IEEE
14 years 8 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
IEICET
2010
207views more  IEICET 2010»
13 years 6 months ago
A Semi-Supervised Approach to Perceived Age Prediction from Face Images
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient act...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
ICML
1998
IEEE
14 years 8 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith