Results 261 to 270 of about 105,835 (305)

Joint Temporal and Spectral Processing for Improved Digital Subtraction Angiography Using Photon-Counting Detectors. [PDF]

IEEE Trans Biomed Eng
Liao S, Zhang X, Jiang X, Tivnan M, Stayman JW, Gang GJ.   +5 more
europepmc   +1 more source

Litter decomposition regulated by stand ECM dominance but not litter mycorrhizal type in a subtropical mountainous forest. [PDF]

Tree Physiol
Lu M, Tian Q, Zhao R, Chen L, Yang M, He Q, Liu F.   +6 more
europepmc   +1 more source

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition. [PDF]

Discov Nano
Almansour S, Alkwai LM, Yadav K, Zneid BA, Pashtun F.   +4 more
europepmc   +1 more source

AI-Based Predictive Maintenance Framework for Industrial Saw Blade Wear Monitoring Using Low-Cost Vibration Sensors. [PDF]

Sensors (Basel)
Alfaris H, Daoud O, Kneifel J, Suyyagh A.   +3 more
europepmc   +1 more source

Practical Bias Variance Decomposition

, 2008
Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on how to apply a bias variance decomposition. This paper examines the various parameters and variants of empirical bias variance decompositions through an extensive simulation study ...
Remco R. Bouckaert, Bouckaert, Remco R.
openaire   +2 more sources

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Variance decomposition in the estimation of genetic variance with selected data

Journal of Animal Science, 1992
Estimation of genetic variance in populations under selection involves assumptions on base animals. Base animals are often considered unselected and it also has been proposed to treat selected base animals as fixed. The consequences of assumptions on base animals in the estimation of genetic variance in selected populations are not fully understood ...
van der Werf, J.H.J., Thompson, R.
openaire   +3 more sources

Bias-variance decomposition of ir evaluation

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013
It has been recognized that, when an information retrieval (IR) system achieves improvement in mean retrieval effectiveness (e.g. mean average precision (MAP)) over all the queries, the performance (e.g., average precision (AP)) of some individual queries could be hurt, resulting in retrieval instability.
Peng Zhang 0002, Dawei Song 0001, Jun Wang 0012, Yuexian Hou   +3 more
openaire   +1 more source

The bias–variance decomposition in profiled attacks

Journal of Cryptographic Engineering, 2015
The profiled attacks challenge the security of cryptographic devices in the worst case scenario. We elucidate the reasons underlying the success of different profiled attacks (that depend essentially on the context) based on the well-known bias–variance tradeoff developed in the machine learning field.
Liran Lerman, Gianluca Bontempi, Olivier Markowitch   +2 more
openaire   +2 more sources

Variance decomposition of nonlinear systems

2009 IEEE International Conference on Control and Automation, 2009
Until recently, the motivation for assessing closed-loop performance was to evaluate the effect of the controller on the output variation of linear systems. Far less has been written on assessing the multivariate noise case for nonlinear dynamic systems.
Wei Yu, David Wilson, Brent Young, Thomas Harris   +3 more
openaire   +1 more source