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» Input Selection for Long-Term Prediction of Time Series
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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 1 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
ETRA
2006
ACM
114views Biometrics» more  ETRA 2006»
15 years 3 months ago
Causal saliency effects during natural vision
Salient stimuli, such as color or motion contrasts, attract human attention, thus providing a fast heuristic for focusing limited neural resources on behaviorally relevant sensory...
Ran Carmi, Laurent Itti
BMCBI
2007
217views more  BMCBI 2007»
14 years 9 months ago
On consensus biomarker selection
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
Janusz Dutkowski, Anna Gambin
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
15 years 10 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...