Results 21 to 30 of about 1,180,431 (244)

Neural Likelihoods via Cumulative Distribution Functions [PDF]

, 2020
We leverage neural networks as universal approximators of monotonic functions to build a parameterization of conditional cumulative distribution functions (CDFs). By the application of automatic differentiation with respect to response variables and then
Chilinski, Pawel, Silva, Ricardo
core   +1 more source

Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint [PDF]

, 2014
In certain genetic studies, clinicians and genetic counselors are interested in estimating the cumulative risk of a disease for individuals with and without a rare deleterious mutation.
Garcia, Tanya P., Ma, Yanyuan, Marder, Karen, Qin, Jing, Tang, Ming-Xin, Wang, Yuanjia   +5 more
core   +3 more sources

Compedium model using frequency / cumulative distribution function for receptors of survival proteins: Epidermal growth factor and insulin [PDF]

Network Biology, 2016
In this paper I used the frequency and cumulative distribution functions to make a best model of the receptors of the survival proteins i.e. Epidermal Growth Factor Receptor (EGFR) and Insulin Receptor (IRS) using ten concentrations combination of TNF ...
Shruti Jain
doaj  

Normal Cumulative Distribution Function and Dispersion Entropy Based EMG Classification

Sakarya University Journal of Computer and Information Sciences, 2020
Electromyography (EMG) is used to measure muscle activity. EMG signals are widely used in many biomedical practices such as motion recognition, prosthetic control, physical rehabilitation, and human-computer interfaces.
Muzaffer Aslan
doaj   +1 more source

Approximate skew normal distribution

Journal of Advanced Research, 2010
We propose a new approximate skew normal distribution, it is easy to calculate, convenient, mathematically tractable and is in a closed form. It is particularly useful when the probability density function occurs in an expression to be used for further ...
Samir K. Ashour, Mahmood A. Abdel-hameed
doaj   +1 more source

Display of probability densities for data from a continuous distribution [PDF]

, 2004
Based on cumulative distribution functions, Fourier series expansion and Kolmogorov tests, we present a simple method to display probability densities for data drawn from a continuous distribution. It is often more efficient than using histograms.Comment:
Anderson BD, Aniol KA, Auerbach L, Baker FT, Berthot J, Bertin PY, Bertozzi W, Bimbot L, Boeglin WU, Brash EJ, Breton V, Breuer H, Burtin E, Calarco JR, Cardman LS, Cates GD, Cavata C, Chang CC, Chen JP, Cisbani E, d'Hose N, Dale DS, de Jager CW, De Leo R, Debruyne D, Deur A, Diederich B, Djawotho P, Domingo J, Ducret JE, Epstein MB, Ewell LA, Finn JM, Fissum KG, Fonvieille H, Frois B, Frullani S, Gao J, Garibaldi F, Gasparian A, Gilad S, Gilman R, Glamazdin A, Glashausser C, Gomez J, Gorbenko V, Gorringe T, Hersman FW, Holmes R, Holtrop M, Howell C, Huber GM, Hyde-Wright CE, Iodice M, Jaminion S, Jones MK, Joo K, Jutier C, Kahl W, Kato S, Kelly JJ, Kerhoas S, Khandaker M, Khayat M, Kino K, Korsch W, Kramer L, Kumar KS, Kumbartzki G, Laveissiere G, Leone A, LeRose JJ, Levchuk L, Liang M, Lindgren RA, Liyanage N, Lolos GJ, Lourie RW, Madey R, Maeda K, Malov S, Manley DM, Margaziotis DJ, Markowitz P, Martino J, McCarthy JS, McCormick K, McIntyre J, Meziani ZE, Michaels R, Mougey J, Nanda S, Neyret D, Offermann EAJM, Papandreou Z, Perdrisat CF, Perrino R, Petratos GG, Platchkov S, Pomatsalyuk R, Prout DL, Punjabi VA, Pussieux T, Quemener G, Ransome RD, Ravel O, Roblin Y, Roche R, Rowntree D, Rutledge GA, Rutt PM, Ryckebusch J, Saha A, Saito T, Sarty AJ, Serdarevic-Offermann A, Smith TP, Soldi A, Sorokin P, Souder P, Suleiman R, Templon JA, Terasawa T, Todor L, Tsubota H, Udias JM, Ueno H, Ulmer PE, Urciuoli GM, van der Meer RLJ, van Verst S, Vernin P, Vignote JR, Vlahovic B, Voskanyan H, Watson JW, Weinstein LB, Wijesooriya K, Wojtsekhowski B, Zainea DG, Zeps V, Zhao J, Zhou ZL   +142 more
core   +4 more sources

Régimen de precipitaciones y evaporación para riego en el multipropósito Chone, Ecuador

Revista de Investigaciones en Energía, Medio Ambiente y Tecnología, 2017
Around 2250 ha will be developed from the agricultural point of view in Chone, province of Manabí, Ecuador, in the second stage of one of the emblematic and strategic projects of Ecuador, known as Multipurpose Chone.
Eric Cabrera Estupiñán, Ramón Pérez Leira, Juan Ramón Moreira Santos   +2 more
doaj   +1 more source

Galactic Subsystems on the Basis of Cumulative Distribution of Space Velocities [PDF]

Serbian Astronomical Journal, 2008
A sample containing $4,614$ stars with available space velocities and high-quality kinematical data from the Arihip Catalogue is formed. For the purpose of distinguishing galactic subsystems the cumulative distribution of space velocities is studied ...
Vidojević, S., Ninković, S.
doaj   +3 more sources

Characterization of pore volume of cumulative water injection distribution

Petroleum, 2015
Pore volume of Cumulative water injection is one of the factors for evaluating water flood effect in a water flood oil field. In previous study, there were limited lab studies for evaluating oil displacement efficiency.
Guoqing Feng, MingLe Yu
doaj   +1 more source

The Cumulative Distribution Transform and Linear Pattern Classification

, 2017
Discriminating data classes emanating from sensors is an important problem with many applications in science and technology. We describe a new transform for pattern identification that interprets patterns as probability density functions, and has special
Kolouri, Soheil, Kundu, Shinjini, Park, Se Rim, Rohde, Gustavo   +3 more
core   +1 more source