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ISPA
2007
Springer
15 years 10 months ago
Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling
A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like crisp taxonomy. However...
Been-Chian Chien, Chih-Hung Hu, Ming-Yi Ju
ICANN
2010
Springer
15 years 5 months ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
DSP
2007
15 years 4 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
ADHOC
2008
88views more  ADHOC 2008»
15 years 4 months ago
Safari: A self-organizing, hierarchical architecture for scalable ad hoc networking
As wireless devices become more pervasive, mobile ad hoc networks are gaining importance, motivating the development of highly scalable ad hoc networking techniques. In this paper...
Shu Du, Ahamed Khan, Santashil PalChaudhuri, Ansle...
PERVASIVE
2006
Springer
15 years 4 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...