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MICCAI
2010
Springer
13 years 6 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
CAEPIA
2003
Springer
14 years 25 days ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...
GLOBECOM
2007
IEEE
14 years 1 months ago
Time-Varying Channel Complex Gains Estimation and ICI Suppression in OFDM Systems
—In this paper, we present an iterative algorithm for channel complex gains estimation with inter-sub-carrierinterference (ICI) reduction in orthogonal-frequency-divisionmultiple...
Hussein Hijazi, Laurent Ros
BMCBI
2010
119views more  BMCBI 2010»
13 years 7 months ago
A comparison of internal validation techniques for multifactor dimensionality reduction
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
Stacey J. Winham, Andrew J. Slater, Alison A. Mots...
ICMLA
2008
13 years 9 months ago
Calibrating Random Forests
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
Henrik Boström