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GRC
2008
IEEE
15 years 7 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICML
2010
IEEE
15 years 7 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
IJRR
2008
151views more  IJRR 2008»
15 years 6 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
AAMAS
2005
Springer
15 years 6 months ago
Coordinating Multiple Agents via Reinforcement Learning
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
JSW
2007
112views more  JSW 2007»
15 years 6 months ago
A Framework for Design Engineering Education with Workflow-based e-Learning System
—Education of design engineering has started to change in response to the advancement of computer technology. This paper proposes a new design engineering educational framework u...
Kazuo Hiekata, Hiroyuki Yamato, Piroon Rojanakamol...