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IPPS
2007
IEEE
14 years 3 months ago
Time Series Forecasting by means of Evolutionary Algorithms
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
Cristóbal Luque del Arco-Calderón, J...
MICCAI
2010
Springer
13 years 7 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 ...
SLIP
2003
ACM
14 years 2 months ago
Fast estimation of the partitioning rent characteristic using a recursive partitioning model
In the past, a priori interconnect prediction, based on Rent’s rule, has been applied mainly for technology evaluation and roadmap applications. These applications do not requir...
Joni Dambre, Dirk Stroobandt, Jan Van Campenhout
WWW
2010
ACM
14 years 4 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
PAMI
2006
145views more  PAMI 2006»
13 years 9 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...