Practice current: how do you treat neuromyelitis optica? by Ganesh, A

“…It is estimated to affect about 1-3 individuals per 100,000 in the general world population, but is overrepresented in nonwhite populations (particularly Asians and those of Afro-Caribbean descent) as a major proportion of CNS demyelinating disease. 1-5 It follows a relapsing course in the majority of individuals, and most patients have early disability due to severe relapses; within 5 years of disease onset, over 50% of patients with relapsing NMO are blind in one eye or both eyes or require ambulatory support. 6,7…”

On the convergence of a regularized Jacobi algorithm for convex optimization by Banjac, G, Margellos, K, Goulart, P

“…In this paper we consider the regularized version of the Jacobi algorithm, a block coordinate descent method for convex optimization with an objective function consisting of the sum of a differentiable function and a block-separable function. …”

Optimal consensus control of the Cucker-Smale model by Bailo, R, Bongini, M, Carrillo de la Plata, JA, Kalise, D

“…In the case of a smooth penalisation of the control energy, the optimality system is numerically approximated via a gradient-descent method. For sparsity promoting, non-smooth l1-norm control penalisations, the optimal controllers are realised by means of heuristic methods. …”

A scalable approach for continuous time Markov models with covariates by Hatami, F, Ocampo, A, Graham, G, Nichols, TE, Ganjgahi, H

“…In this article, we propose an optimization technique for CTMM which uses a stochastic gradient descent algorithm combined with differentiation of the matrix exponential using a Padé approximation. …”

Fast learning of biased patterns in neural networks. by Wendemuth, A, Sherrington, D

“…Usual neural network gradient descent training algorithms require training times of the same order as the number of neurons N if the patterns are biased. …”

Linkage analysis of susceptibility to leprosy type using an IBD regression method. by Wallace, C, Fitness, J, Hennig, B, Sichali, L, Mwaungulu, L, Pönnighaus, J, Warndorff, D, Clayton, D, Fine, P, Hill, A

“…This paper describes the application of an identity by descent regression search for genetic determinants of leprosy type among families from Karonga District, Northern Malawi. …”

MetaFun: meta-learning with iterative functional updates by Xu, J, Ton, J-F, Kim, H, Kosiorek, AR, Teh, YW

“…Furthermore, rather than directly producing the representation, we learn a neural update rule resembling functional gradient descent which iteratively improves the representation. …”

Parental transmission of HLA-DRB1*15 in multiple sclerosis. by Ramagopalan, S, Herrera, B, Bell, J, Dyment, D, Deluca, G, Lincoln, MR, Orton, S, Chao, M, Sadovnick, A, Ebers, G

“…Multiple sclerosis (MS) is a complex trait in which HLA-DRB1*15 bearing MHC haplotypes increase risk of MS in people of Northern European descent. In this investigation of 7,334 individuals from 1,515 MS families, the largest cohort used to study the HLA-DRB1 locus to date, we analysed the transmission of HLA-DRB1*15 haplotypes stratified by sex of transmitting parent. …”

The pipeline for the ExoMars DREAMS scientific data archiving by Schipani, P, Marty, L, Mannetta, M, Esposito, F, Molfese, C, Aboudan, A, Apestigue-Palacio, V, Arruego-Rodriguez, I, Bettanini, C, Colombatti, G, Debei, S, Genzer, M, Harri, A-M, Marchetti, E, Montmessin, F, Mugnuolo, R, Pirrotta, S, Wilson, C

“…DREAMS (Dust Characterisation, Risk Assessment, and Environment Analyser on the Martian Surface) is a payload accommodated on the Schiaparelli Entry and Descent Module (EDM) of ExoMars 2016, the ESA and Roscosmos mission to Mars (Esposito (2015), Bettanini et al. (2014)). …”

Privacy-aware quadratic optimization using partially homomorphic encryption by Shoukry, Y, Gatsis, K, Alanwar, A, Pappas, GJ, Seshia, SA, Srivastava, M, Tabuada, P

“…To find the optimal solution the cloud applies a gradient descent algorithm on the encrypted data without the ability to decrypt it. …”

Qualitatively characterizing neural network optimization problems by Goodfellow, IJ, Saxe, A, Vinyals, O

“…However, modern neural networks are able to achieve negligible training error on complex tasks, using only direct training with stochastic gradient descent. We introduce a simple analysis technique to look for evidence that such networks are overcoming local optima. …”

Colonial knowledge, invention and reinvention of Malay Identity in pre-independence Malaya: a retrospect by Fernandez , Callistus

“…This paper discusses how Malay identity in the pre-colonial era was ruler-centred and specific towards kingdoms of Malaccan descent changed to become a ‘bangsa Melayu’ encompassing all the definitive peoples of Malaya under the name of Malay. …”

Predicting flow direction of soil erosion using geographic information system (GIS) by Mohd Yusof, S.Y., Rodziah, H.

“…The direction of flow, specifically overland flow or runoff, can be determined by finding the direction of steepest descent from each point on the terrain surface. This study aims to determine the flow direction using GIS or, in the case of a raster, digital elevation model (DEM), from each cell in the DEM. …”
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Comparison of the AIM conjugate gradient method under exact and inexact line search for solving unconstrained optimization problems by Za’aba, Fatin Nadhirah, Marjugi, Siti Mahani

“…The global convergence and sufficient descent properties are established by using an inexact line search. …”

Rice yield prediction - a comparison between enhanced back propagation learning algorithms by Saad, Puteh, Jamaludin, Nor Khairah, Rusli, Nursalasawati, Bakri, Aryati, Kamarudin, Siti Sakira

“…Amidst the four algorithms explored, Conjugate Gradient Descent exhibits the best performance.…”
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Global convergence of two spectral conjugate gradient methods by Ghanbari, Mahdi, Ahmad, Tahir, Alias, Norma, Askaripour, Mohammadreza

“…The directions generated by the methods are descent directions for the objective function. Under mild conditions, we prove that the spectral conjugate gradient methods with an Armijo-type line search are globally convergent. …”
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Global convergence analysis of a new hybrid conjugate gradient method for unconstrained optimization problems by Abdullahi, I., Ahmad, R.

“…The beta (New) was constructed purposely for this proposed hybrid method.The method possesses sufficient descent property irrespective of the line search. …”

1001 INVENTIONS : THE ENDURING LEGACY OF MUSLIM CIVILIZATION / by Al-Hassani, Salim T. S., editor 552708

“…As most of Europe continues its descent into a long period of intellectually dormancy, a quiet yet powerful academic revolution is erupting in another corner of the world. …”

DEEP LEARNING / by Kelleher, John D., author 637754

“…The book also covers the two more important algorithms for training a neural network, the gradient descent algorithm and Backpropagation"--…”

Analysis of Islamic Inheritance Law on the Distribution of Women’s Inheritance by Dewiyanti Rambe, Muhammad Amar Adly, Khalid Khalid

“…The findings in the study are the implementation of inheritance distribution in the Pangkatan sub-district, which is in accordance with hereditary provisions where sons get 70% inheritance and girls get 30% inheritance, this is because male children are considered to continue their descent. The perspective of Islamic inheritance law in the distribution of inheritance in rank sub-districts is in accordance with faraidh law in addition to the principle of legal clarity and expediency, inheritance law in general and as a whole has positive values, norms, and wisdom which are very basic and contain justice. …”
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