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Clinical Outcome of Non-descent Vaginal Hysterectomy Versus Abdominal Hysterectomy
Published 2022-11-01“…Keywords: Hysterectomy; non-descent vaginal hysterectomy; vault infection; wound infection …”
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183
Effects of rotor separation on the axial descent performance of dual-rotor configurations
Published 2023-01-01Subjects: Get full text
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184
Powered Descent Guidance via First-Order Optimization With Expansive Projection
Published 2024-01-01Subjects: Get full text
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185
A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics
Published 2020-01-01Subjects: “…stochastic gradient descent…”
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186
Merge and Labeling as Descent with Modification of Categorization: A Neo-Lennebergian Approach
Published 2018-08-01Subjects: Get full text
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187
Using the Stochastic Gradient Descent Optimization Algorithm on Estimating of Reactivity Ratios
Published 2021-08-01Subjects: “…gradient descent…”
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188
The causal effect of serum micronutrients on malignant kidney neoplasm in European descent
Published 2023-08-01Get full text
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189
Analysis of Homozygous-by-Descent (HBD) Segments for Purebred and Crossbred Pigs in Russia
Published 2021-08-01Subjects: “…homozygous-by-descent (HBD)…”
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190
A simplified convergence theory for Byzantine resilient stochastic gradient descent
Published 2022-01-01“…In the presence of one or more malicious servers sending incorrect information (a Byzantine adversary), standard algorithms for model training such as stochastic gradient descent (SGD) fail to converge. In this paper, we present a simplified convergence theory for the generic Byzantine Resilient SGD method originally proposed by Blanchard et al. (2017) [3]. …”
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191
Efficient neural codes naturally emerge through gradient descent learning
Published 2022-12-01Get full text
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192
Self-Calibration of UAV Thermal Imagery Using Gradient Descent Algorithm
Published 2023-11-01“…It consists of the following steps: (i) devignetting using the single image vignette correction algorithm, (ii) georeferencing using image metadata, scale-invariant feature transform (SIFT) stitching, and gradient descent optimisation, and (iii) inter-image temperature consistency optimisation by minimisation of bias between overlapping thermal images using gradient descent optimisation. …”
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193
Stabilization of stochastic functional differential systems by steepest descent feedback controls
Published 2021-04-01“…Furthermore, the novel Lyapunov functionals and the induced steepest descent feedback controls are constructed to obtain such stability conditions that are weaker than the classical ones. …”
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194
Belief-Rule-Base Inference Method Based on Gradient Descent With Momentum
Published 2021-01-01Subjects: Get full text
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195
Clustered Federated Learning Based on Momentum Gradient Descent for Heterogeneous Data
Published 2023-04-01Subjects: Get full text
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196
The American Dream: Is Immigration Associated with Life Satisfaction for Latinos of Mexican Descent?
Published 2023-09-01“…The Latino population is one of the largest immigrant groups in the United States, with the majority being of Mexican descent. Whether immigrating to the US is positive for the well-being of Mexican immigrants and future generations is an important question. …”
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Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches
Published 2022-01-01“…We propose two computational approaches for updating the factors in the incremental model: one is based on the recursive update model, and the other uses the concept of the block Kaczmarz method that belongs to coordinate descent methods. The experimental results performed on various datasets and streaming data demonstrate high efficiently of both algorithmic approaches, with respect to the baseline NTD methods.…”
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198
Beyond Stochastic Gradient Descent for Matrix Completion Based Indoor Localization
Published 2019-06-01Subjects: Get full text
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199
Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent
Published 2024-01-01Subjects: Get full text
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200
Normalized stochastic gradient descent learning of general complex‐valued models
Published 2021-06-01“…Abstract The stochastic gradient descent (SGD) method is one of the most prominent first‐order iterative optimisation algorithms, enabling linear adaptive filters as well as general nonlinear learning schemes. …”
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