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Robust coffee plant disease classification using deep learning and advanced feature engineering techniques. [PDF]

PeerJ Comput Sci
Ardah H, Alrahhal M, M Abd-Elhafiez W, Trabay D.   +3 more
europepmc   +1 more source

Aging, Cognitive Efficiency, and Lifelong Learning: Impacts on Simple and Complex Sentence Production During Storytelling. [PDF]

Brain Sci
D'Ortenzio S, Petriglia F, Gasparotto G, Andreetta S, Gobbo M, Marini A.   +5 more
europepmc   +1 more source

Effects of dietary sodium diformate supplementation on growth performance, nutrient digestibility, and intestinal function of broiler chickens. [PDF]

Poult Sci
Li Z, Xu H, Tan Z, Wang H, Li Z, Luo Y, Li Y, Chen Y, Wang T, Zhang H.   +9 more
europepmc   +1 more source

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Wavelet shrinkage for natural exponential families with quadratic variance functions

Biometrika, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoniadis, Anestis, Sapatinas, Theofanis   +1 more
openaire   +4 more sources

On variance function estimation with quadratic forms

Journal of Statistical Planning and Inference, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Müller, Hans-Georg, Stadtmüller, Ulrich   +1 more
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Conjugate Priors for Exponential Families Having Quadratic Variance Functions

Journal of the American Statistical Association, 1992
Abstract Consider a natural exponential family parameterized by θ. It is well known that the standard conjugate prior on θ is characterized by a condition of posterior linearity for the expectation of the model mean parameter μ. Often, however, this family is not parameterized in terms of θ but rather in terms of a more usual parameter, such at the ...
G. Consonni, VERONESE, PIERO
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On selecting the best natural exponential families with quadratic variance function

Statistics & Probability Letters, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abughalous, Mansour M., Bansal, Naveen K.   +1 more
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A quadratic approximation for Jackknife estimators of the variance of sample mean functions

Statistical Papers, 1999
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Cubeddu, C., Targhetta, M. L.
openaire   +1 more source