Financial time series prediction using least squares support vector machines within the evidence framework.
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A pilot study investigating changes in neural processing after mindfulness training in elite athletes.Support vector machine-based open crop model (SBOCM): Case of rice production in China.An accurate density functional theory calculation for electronic excitation energies: the least-squares support vector machine.Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis.Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models.European Option Pricing by Using the Support Vector Regression ApproachA High-Performance Control Method of ConstantV/f-Controlled Induction Motor Drives for Electric VehiclesForecasting Dry Bulk Freight Index with Improved SVMThrough-Wall Detection with LS-SVM under Unknown Wall CharacteristicsImpact detection and location for a plate structure using least squares support vector machines
P2860
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P2860
Financial time series prediction using least squares support vector machines within the evidence framework.
description
2001 nî lūn-bûn
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2001年の論文
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年學術文章
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name
Financial time series predicti ...... within the evidence framework.
@en
Financial time series predicti ...... within the evidence framework.
@nl
type
label
Financial time series predicti ...... within the evidence framework.
@en
Financial time series predicti ...... within the evidence framework.
@nl
prefLabel
Financial time series predicti ...... within the evidence framework.
@en
Financial time series predicti ...... within the evidence framework.
@nl
P2093
P356
P1476
Financial time series predicti ...... within the evidence framework.
@en
P2093
A Lambrechts
B Vandaele
D E Baestaens
G Lanckriet
J K Suykens
J Vandewalle
T Van Gestel
P304
P356
10.1109/72.935093
P577
2001-01-01T00:00:00Z