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» Forecasting high-dimensional data
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CEC
2009
IEEE
15 years 4 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
JGS
2002
78views more  JGS 2002»
14 years 9 months ago
Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the tran...
Mark L. Wilson
IJCNN
2007
IEEE
15 years 4 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
CVPR
2003
IEEE
15 years 11 months ago
Nearest Neighbor Search for Relevance Feedback
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback...
Jelena Tesic, B. S. Manjunath
CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang