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HICSS
2008
IEEE
134views Biometrics» more  HICSS 2008»
15 years 6 months ago
Social Network Behavior, Thought-Leaders and Knowledge Building in an Online Learning Community
This paper investigates the relationship between student role-behavior and position in a Social Network and the processes of creating sustained collaborative knowledge building in...
Jim Waters
IPL
2008
172views more  IPL 2008»
14 years 11 months ago
Approximation algorithms for restricted Bayesian network structures
Bayesian Network structures with a maximum in-degree of k can be approximated with respect to a positive scoring metric up to an factor of 1/k. Key words: approximation algorithm,...
Valentin Ziegler
EVOW
2003
Springer
15 years 4 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
15 years 5 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
NPL
2006
172views more  NPL 2006»
14 years 11 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou