نتایج جستجو برای: chemical losses

تعداد نتایج: 439381  

Journal: :Gender medicine 2009
Marianne J Legato

On a very ordinary day in a very unremarkable year of fellowship training, one of my closest friends gave me a clue I still grieve over missing: she said that in a few days, all the secrets patients and friends had confided in her would be safe forever. I remember thinking it was a strange remark, but didn’t pursue it. That weekend, she left her clothes and wallet on a Nantucket beach and swam ...

Journal: :مدیریت خاک و تولید پایدار 0
مریم روستایی دانشگاه شهرکرد سیف اله فلاح عضو هیات علمی دانشکده کشاورزی، دانشگاه شهرکرد

in order to effects of fertilizer source and intercropping ratios on macronutrients concentration and uptake of fenugreek and black cumin, a factorial experiment was conducted as randomized complete block design with three replications at shahrekord university research farm in 2013. sole cropping of fenugreek (f) and sole cropping of black cumin (b) and three intercropping ratios (f:b 2:1, f:b ...

Journal: :تحقیقات اقتصاد و توسعه کشاورزی ایران 0

the purpose of this descriptive-survey research was to assess the attitude of the farmers, bakers and consumers toward cultural and social factors influencing wheat, flour, and bread losses. the population of the study was constituted of all the farmers, bakers and bread consumers in tehran, khuzestan, golestan and kermanshah provinces. a sample of 1500 farmers, 600 bakers, and 6000 consumers w...

2001

This short memo presents the results of simulation tests that empirically quantify quantizer sensitivity losses in the WIDAR correlator for the EVLA. These results demonstrate that 3-bit/8-level quantization suffers a ~3.7% sensitivity loss and that 4-bit/15-level quantization suffers ~1.3% sensitivity loss. The results will also show that a WIDAR correlator with 3-bit initial quantization and ...

2018
Joachim Sicking Thomas Guhr Rudi Schäfer

We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetry in the copulas. Concurrent large portfolio losses are much more likely than small ones. Studyin...

Journal: :Journal of Machine Learning Research 2011
Elodie Vernet Robert C. Williamson Mark D. Reid

We consider loss functions for multiclass prediction problems. We show when a multiclass loss can be expressed as a “proper composite loss”, which is the composition of a proper loss and a link function. We extend existing results for binary losses to multiclass losses. We subsume results on “classification calibration” by relating it to properness. We determine the stationarity condition, Breg...

2008
Vicky Fasen Claudia Klüppelberg

Large insurance losses happen infrequently, but they happen. In this paper we present the standard distribution models used in fire, wind–storm or flood insurance. We also present the classical Cramér-Lundberg model for the total claim amount and some more recent extensions. The classical insurance risk measure is the ruin probability and we give a full account of the ruin event in such models....

Journal: :The Proceedings of the Nutrition Society 1971
A T Phillipson

(2) (3) These are not presented in the form of practical allowances. Hence, in practice, safety margins will be allowed to take account of such factors as variations in availability of nutrients in different samples of feeding-stuffs, possible losses during manufacture and storage of food, breed and individuality of animals, environmental circumstances and standards of husbandry. livestock has ...

Journal: :Journal of Machine Learning Research 2010
Mark D. Reid Robert C. Williamson

We study losses for binary classification and class probability estimation and extend the understanding of them from margin losses to general composite losses which are the composition of a proper loss with a link function. We characterise when margin losses can be proper composite losses, explicitly show how to determine a symmetric loss in full from half of one of its partial losses, introduc...

2014
Robert C. Williamson

Loss functions are central to machine learning because they are the means by which the quality of a prediction is evaluated. Any loss that is not proper, or can not be transformed to be proper via a link function is inadmissible. All admissible losses for n-class problems can be obtained in terms of a convex body in Rn. We show this explicitly and show how some existing results simplify when vi...

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