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» Training Methods for Adaptive Boosting of Neural Networks
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IWANN
2009
Springer
16 years 2 months ago
Wireless Sensor Networks in Home Care
Ambient Intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a novel architecture which integrat...
Dante I. Tapia, Juan A. Fraile, Sara Rodríg...
197
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MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 9 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
CN
2010
160views more  CN 2010»
15 years 7 months ago
ABS: Adaptive buffer sizing for heterogeneous networks
Most existing criteria [3], [5], [8] for sizing router buffers rely on explicit formulation of the relationship between buffer size and characteristics of Internet traffic. However...
Yueping Zhang, Dmitri Loguinov
IJCNN
2008
IEEE
16 years 1 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
IJCNN
2006
IEEE
16 years 1 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö