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194
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NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 7 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
PAMI
2000
127views more  PAMI 2000»
15 years 7 months ago
Geometric Camera Calibration Using Circular Control Points
Modern CCD cameras are usually capable of a spatial accuracy greater than 1/50 of the pixel size. However, such accuracy is not easily attained due to various error sources that c...
Janne Heikkilä
IM
2007
15 years 7 months ago
PageRank of Scale-Free Growing Networks
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of Web page visits by a random surfer and thus it r...
Konstantin Avrachenkov, Dmitri Lebedev
205
Voted
DKE
1999
118views more  DKE 1999»
15 years 7 months ago
Designing Data Warehouses
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
Dimitri Theodoratos, Timos K. Sellis
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 7 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
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