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INFORMATICALT
1998
91views more  INFORMATICALT 1998»
15 years 3 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
CSDA
2006
103views more  CSDA 2006»
15 years 3 months ago
LASS: a tool for the local analysis of self-similarity
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, Geor...
IJON
2000
104views more  IJON 2000»
15 years 3 months ago
Harmonic analysis of spiking neuronal pairs
Harmonic analysis is applied to analyze the transmission of bandlimited signals via spike trains generated by a pair of leaky integrate-and-fire (LIF) model neurons organized in a...
Charles H. Anderson, Qingfeng Huang, John W. Clark
132
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BMCBI
2008
95views more  BMCBI 2008»
15 years 3 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
108
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INTERSPEECH
2010
14 years 10 months ago
Discriminative adaptation based on fast combination of DMAP and dfMLLR
This paper investigates the combination of discriminative adaptation techniques. The discriminative Maximum A-Posteriori (DMAP) adaptation and discriminative feature Maximum Likel...
Lukás Machlica, Zbynek Zajíc, Ludek ...