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7 pages
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2006
A decision maker has to recommend a treatment, knows that any outcome will be in [0; 1] but only has minimal information about the likelihood of outcomes (there is no prior). The decision maker can design a finite number of experiments in which treatments are tested. For the case of two treatments we present a rule for designing experiments and making a recommendation that attains minimax regret and can thus ensure a given maximal error with the minimal number of tests. 11 tests are needed under the so-called binomial average rule to limit the error to 5%. We also consider the setting where there is covariate information to then identify minimax regret behavior and drastically reduce the number of tests needed to attain a given maximal error as compared to the literature (over 200 to 22 given two covariates). We extend the binomial average rule to more than two treatments and use it to derive a bound on minimax regret.
2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, 2011
Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, 2004
Optical coherence tomography (OCT) is an interferometric technique using the low coherence property of light to axially image at high resolution in biological tissue samples. Transverse imaging is obtained with two-dimensional scanning and transverse resolution is limited by the size of the scanning beam at the imaging point. The most common metrics used for determining the axial resolution of an
2004
Optical coherence tomography (OCT) is an interferometric technique using the low coherence property of light to axially image at high resolution in biological tissue samples. Transverse imaging is obtained with two-dimensional scanning and transverse resolution is limited by the size of the scanning beam at the imaging point. The most common metrics used for determining the axial resolution of an OCT system are the full-width-at-half-maximum (FWHM), the absolute square integral (ASI), and the root-mean-square (RMS) width of the axial PSF of the system, where the PSF of an OCT system is defined as the envelope of the interference fringes when the sample has been replaced by a simple mirror. Such metrics do not take into account the types of biological tissue samples being imaged. In this paper we define resolution in terms of the instrument and the biological sample combined by defining a resolution task and computing the associated detectability index and area under the receiver operating characteristic curve (AUC). The detectability index was computed using the Hotelling observer or best linear observer. Results of simulations demonstrate that resolution is best quantified as a probability of resolving two layers, and the impact on resolution of variations in the index of refraction between the layers is clearly demonstrated.
SSRN Electronic Journal, 2000
curent trends in biotechnology and pharmacy, 2011
Neem oil extracted from seeds of neem trees (Azadirachta indica A.juss) growing in three soil types has showed variations, using petroleum ether and ethanol. Effect of temperature and the influence of solvent on the extraction were studied. Results showed that the maximum oil yield was 42.60% with petroleum ether and 39.17% with ethanol at 50ºC. It was observed that the increase in temperature, decreased the iodine value, whereas increased acid, and peroxide values, envisaging that the higher extraction temperature, though gives higher oil yield, decreased the quality of oil. It was evident that petroleum ether (bp 60-80 o C) can be effectively used as a good solvent for the extraction of oil in solvent extraction process. Further it was observed that some significant variations in Azadirachtin (980-2420 mg/kg), seed protein (27.2-32.8 %) and seed weight (16.8-18.9 g) were observed in trees growing in different soil types.
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2011 IEEE Symposium On Computational Intelligence For Multimedia, Signal And Vision Processing, 2011
NeuroQuantology, 2012
Gayana. Botánica, 2009
2013 5th International Conference on Computational Intelligence and Communication Networks, 2013