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» A Boosting Algorithm for Regression
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127
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NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 3 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
ICCV
2005
IEEE
16 years 5 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
HPCA
2009
IEEE
16 years 4 months ago
Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
Lide Duan, Bin Li, Lu Peng
CIKM
2007
Springer
15 years 9 months ago
Hybrid results merging
The problem of results merging in distributed information retrieval environments has been approached by two different directions in research. Estimation approaches attempt to cal...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
120
Voted
IJCAI
1997
15 years 4 months ago
Is Nonparametric Learning Practical in Very High Dimensional Spaces?
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
Gregory Z. Grudic, Peter D. Lawrence