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» Training Methods for Adaptive Boosting of Neural Networks
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IWANN
2009
Springer
15 years 4 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...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
14 years 11 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»
14 years 9 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
15 years 4 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
15 years 3 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