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ISNN
2005
Springer
15 years 10 months ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
AUSAI
2004
Springer
15 years 10 months ago
Using Machine Learning Techniques to Combine Forecasting Methods
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
161
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ECTEL
2006
Springer
15 years 8 months ago
Informal Learning Theories and Tools to Support Knowledge Management in Distributed CoPs
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...
Maria Chiara Pettenati, Maria Ranieri
150
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IAT
2008
IEEE
15 years 5 months ago
Scaling Up Multi-agent Reinforcement Learning in Complex Domains
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
Dan Xiao, Ah-Hwee Tan
134
Voted
BIOADIT
2006
Springer
15 years 8 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner