How and when Lesbos became Greek? by Solomatina, Elena Ivanovna

“…As a result of this process local aristocracies got their descent from the royal family of Mycenae and the founders of Lesbos starting with Makar – the Aiolos’ lineage. …”
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Tensor-Based Recursive Least-Squares Adaptive Algorithms with Low-Complexity and High Robustness Features by Ionuț-Dorinel Fîciu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Cristian Anghel

“…The recently proposed tensor-based recursive least-squares dichotomous coordinate descent algorithm, namely RLS-DCD-T, was designed for the identification of multilinear forms. …”
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Variational Inequality Problem Over the Set of Common Fixed Points of a Family of Demi-Contractive Mappings by Mohammad Eslamian

“…In this paper, by using the viscosity iterative method and the hybrid steepest-descent method, we present a new algorithm for solving the variational inequality problem. …”
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Active Shielding Design and Optimization of a Wireless Power Transfer (WPT) System for Automotive by Silvano Cruciani, Tommaso Campi, Francesca Maradei, Mauro Feliziani

“…Each active coil is independently powered and the most suitable excitation is obtained by an optimization procedure based on the Gradient Descent algorithm. The proposed procedure is described and applied to shield the magnetic field beside an electric vehicle (EV) equipped with SAE standard coils, during wireless charging. …”
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Feature Selection for SVMs by Poggio, Tomaso A., Weston, Jason, Mukherjee, Sayan, Pontil, Massimiliano, Chapelle, Olivier, Vapnik, Vladimir

“…This search can be efficiently performed via gradient descent. The resulting algorithms are shown to be superior to some standard feature selection algorithms on both toy data and real-life problems of face recognition, pedestrian detection and analyzing DNA micro array data.…”
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Accelerated CNN Training through Gradient Approximation by Wang, Ziheng, Nelaturu, Sree Harsha, Amarasinghe, Saman P

“…Training deep convolutional neural networks such as VGG and ResNet by gradient descent is an expensive exercise requiring specialized hardware such as GPUs. …”
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Achieving acceleration in distributed optimization via direct discretization of the heavy-ball ODE by Zhang, J, Uribe, CA, Mokhtari, A, Jadbabaie, A

“…The proposed algorithm is derived from directly discretizing the second-order heavy-ball differential equation and results in an accelerated convergence rate, i.e., faster than distributed gradient descent-based methods for strongly convex objectives that may not be smooth. …”
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On left and right model categories and left and right Bousfield localizations by Barwick, Clark Edward

“…We also use such Bousfield localizations to construct a number of new model categories, including models for the homotopy limit of right Quillen presheaves, for Postnikov towers in model categories, and for presheaves valued in a symmetric monoidal model category satisfying a homotopy-coherent descent condition. We then verify the existence of right Bousfield localizations of right model categories, and we apply this to construct a model of the homotopy limit of a left Quillen presheaf as a right model category.…”
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Mass loss to the trailing stem of a sediment cloud by Lai, Adrian Chun Hin, Adams, E. Eric, Law, Adrian Wing-Keung

“…The mass loss from the trailing stem during the descent induces turbidity in the water column and this is investigated in this study. …”
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Multi-beam optimization for IRS-aided massive multi-user communication by Qi, Xiawei

“…In this dissertation, a partitioning optimization method based on the block coordinate descent (BCD) technique for large-scale IRS systems is proposed, which significantly improves the channel capacity and computational efficiency in multi-user communication scenarios. …”
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A systemic modeling of the minds of stock traders by Rony Baby John.

“…The patterns so obtained as a result of this analysis reflects the existence of a three phase phenomenon namely the Free Fall, the Resistance phase and the Final Descent in the crashing of the stock markets. Furthermore as the “Stock Market Crashes” can be called as a ‘Catastrophe’ that strikes the financial world, this report brings to light the striking similarities in the pattern of Airplane crashes and the Stock Market crashes. …”
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Open water disposal of barged sediment by Er, Jenn Wei

“…A model, BSDM (Barged Sediment Disposal Model) was first developed to assess the behavior of sediment clouds due to barge disposal in the convective descent phase. Upon impact on the seabed, the intrusion of the collapsed cloud was then investigated as a gravity current, and a modified Box-Model was developed to simulate the motion. …”
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Outreach focused CanSat project by Chan, Ming Hui

“…The onboard sensor payload will be activated to record any relevant data and transmit the information back to the Ground Station as the descent progresses. This project encompasses 2 CanSat concepts with differing payloads and development difficulty to cater for different educational scope. …”
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FRAGMENTASI IDENTITAS DALAM NOVEL THE COLOR PURPLE KARYA ALICE WALKER by , JUSTINE NIKEN AFDA, S.S, , Dr. Wening Udasmoro, M.Hum., DEA.

“…Social situation that was created at that time to make this descent impaired in their lives. Their lives are filled with discrimination, slavery, oppression and injustice even among groups caused by the problem of racism. …”

Pengaruh Menulis Pengalaman Emosional Terhadap Memori Otobiografi Dan Depresi Pada Remaja Yang Menjalani Rehabilitasi Napza by Perpustakaan UGM, i-lib

“…A mixed design analysis of variance was used to know autobiographic memory bias and depression descent from pre to follow up period, and regression analysis was used to know autobiographic memory and depression correlated. …”

Mapping cis- and trans-regulatory effects across multiple tissues in twins. by Grundberg, E, Small, K, Hedman, Å, Nica, A, Buil, A, Keildson, S, Bell, J, Yang, T, Meduri, E, Barrett, A, Nisbett, J, Sekowska, M, Wilk, A, Shin, S, Glass, D, Travers, M, Min, J, Ring, S, Ho, K, Thorleifsson, G, Kong, A, Thorsteindottir, U, Ainali, C, Dimas, A, Hassanali, N

“…Here, we present a comprehensive analysis of gene expression across multiple tissues conducted in a large set of mono- and dizygotic twins that allows systematic dissection of genetic (cis and trans) and non-genetic effects on gene expression. Using identity-by-descent estimates, we show that at least 40% of the total heritable cis effect on expression cannot be accounted for by common cis variants, a finding that reveals the contribution of low-frequency and rare regulatory variants with respect to both transcriptional regulation and complex trait susceptibility. …”

On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming. by Cartis, C, Gould, N, Toint, P

“…We obtain that in the reasonable case when the penalty parameters are bounded, the complexity of reaching within ε of a KKT point is at most O(ε-2) problem evaluations, which is the same in order as the function-evaluation complexity of steepest-descent methods applied to unconstrained, nonconvex smooth optimization. © 2011 Society for Industrial and Applied Mathematics.…”

Accounting for long-range correlations in genome-wide simulations of large cohorts by Nelson, D, Kelleher, J, Ragsdale, AP, Moreau, C, McVean, G, Gravel, S

“…Here we show that coalescent simulations of long regions of the genome exhibit large biases in identity-by-descent (IBD), long-range linkage disequilibrium (LD), and ancestry patterns, particularly when the sample size is large. …”

Meta-learning with differentiable closed-form solvers by Bertinetto, L, Henriques, J, Torr, P, Vedaldi, A

“…Most work on few-shot learning has thus focused on simple learning techniques for adaptation, such as nearest neighbours or gradient descent. Nonetheless, the machine learning literature contains a wealth of methods that learn non-deep models very efficiently. …”

Self-aware SGD: reliable incremental adaptation framework for clinical AI models by Thakur, A, Armstrong, J, Youssef, A, Eyre, D, Clifton, DA

“…This paper introduces self-aware stochastic gradient descent (SGD) , an incremental deep learning algorithm that utilises a contextual bandit-like sanity check to only allow reliable modifications to a model. …”