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» Bias and Variance Approximation in Value Function Estimates
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MP
2002
176views more  MP 2002»
13 years 8 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
IJCNN
2000
IEEE
14 years 1 months ago
Piecewise Linear Homeomorphisms: The Scalar Case
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...
Richard E. Groff, Daniel E. Koditschek, Pramod P. ...
INFORMATICALT
2010
122views more  INFORMATICALT 2010»
13 years 7 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis
BMCBI
2008
120views more  BMCBI 2008»
13 years 8 months ago
Statistical issues in the analysis of Illumina data
Background: Illumina bead-based arrays are becoming increasingly popular due to their high degree of replication and reported high data quality. However, little attention has been...
Mark J. Dunning, Nuno L. Barbosa-Morais, Andy G. L...
COLING
2000
13 years 10 months ago
A Method of Measuring Term Representativeness - Baseline Method Using Co-occurrence Distribution
This paper introduces a scheme, which we call the baseline method, to define a measure of term representativeness and measures defined by using the scheme. The representativeness ...
Toru Hisamitsu, Yoshiki Niwa, Jun-ichi Tsujii