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» On the Blind Classification of Time Series
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IJCSA
2006
289views more  IJCSA 2006»
13 years 8 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
CHI
2004
ACM
14 years 9 months ago
Banner ads hinder visual search and are forgotten
Banner ads persist on the Internet in spite of evidence against their efficacy. Many ads include animation in an attempt to increase their attentional capture. An experiment was c...
Moira Burke, Nicholas Gorman, Erik Nilsen, Anthony...
NOMS
2006
IEEE
14 years 2 months ago
Predicting Machine Availabilities in Desktop Pools
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
Artur Andrzejak, Patrício Domingues, Lu&iac...
NIPS
2008
13 years 10 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
AMAI
1999
Springer
13 years 8 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis