Results 21 to 30 of about 273,497 (278)
A Review on Dropout Regularization Approaches for Deep Neural Networks within the Scholarly Domain
Electronics, 2023 Dropout is one of the most popular regularization methods in the scholarly domain for preventing a neural network model from overfitting in the training phase.
Imrus Salehin, Dae-Ki Kang
semanticscholar +1 more source
Mathematics, 2023 Following the idea presented with regard to the elastic-net and Liu-LASSO estimators, we proposed a new penalized estimator based on the Kibria–Lukman estimator with L1-norms to perform both regularization and variable selection.
Adewale Folaranmi Lukman +5 more
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Regularization Paths for Generalized Linear Models via Coordinate Descent.
Journal of Statistical Software, 2010 We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multinomial regression problems while the penalties include ℓ(1) (the lasso), ℓ(2 ...
J. Friedman, T. Hastie, R. Tibshirani
semanticscholar +1 more source
Elastic Optimization for Stragglers in Edge Federated Learning
Big Data Mining and Analytics, 2023 To fully exploit enormous data generated by intelligent devices in edge computing, edge federated learning (EFL) is envisioned as a promising solution.
Khadija Sultana +3 more
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Stability estimate and regularization for a radially symmetric inverse heat conduction problem
Boundary Value Problems, 2017 This paper investigates a radially symmetric inverse heat conduction problem, which determines the internal surface temperature distribution of the hollow sphere from measured data at the fixed location inside it. This is an inverse and ill-posed problem.
Wei Cheng
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Journal of Harbin University of Science and Technology, 2020 Aiming at the problem that the traditional ECT is not accurate in complex situations, this paper proposes a depth learning based inversion method Through the improvement and optimization of the traditional extreme learning machine, the image feature ...
SU Ziheng, CHEN Deyun, WANG Lili
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Exploring Categorical Regularization for Domain Adaptive Object Detection [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we tackle the domain adaptive object detection problem, where the main challenge lies in significant domain gaps between source and target domains.
Chang-Dong Xu +3 more
semanticscholar +1 more source
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems [PDF]
Knowledge Discovery and Data Mining, 2019 Knowledge graphs capture structured information and relations between a set of entities or items. As such knowledge graphs represent an attractive source of information that could help improve recommender systems.
Hongwei Wang +6 more
semanticscholar +1 more source
Regular Partitions of Regular Graphs [PDF]
Canadian Mathematical Bulletin, 1978 In the study of the combinatorial structure of edge-graphs of convex polytopes one may ask whether a given graph possesses a partition consisting of certain kinds of subgraphs.In this paper we describe some special partitions of 3-valent and 4-valent graphs.
openaire +2 more sources
Journal of Mathematical Physics, 2000 Motivated by the problem of the dynamics of point-particles in high post-Newtonian (e.g., 3PN) approximations of general relativity, we consider a certain class of functions which are smooth except at some isolated points around which they admit a power-like singular expansion.
Blanchet, Luc, Faye, Guillaume
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