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Momentum Trading Strategy
Momentum trading is a strategy that makes use of the strength of price movements as a basis for opening positions, either longing or shorting a set...
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SGEM: stochastic gradient with energy and momentum
In this paper, we propose SGEM, stochastic gradient with energy and momentum, to solve a class of general non-convex stochastic optimization...
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Orbital Angular Momentum of Structured LG Beams after Astigmatic Transformation
AbstractThis paper investigates structured Laguerre-Gaussian (sLG) beams with two control parameters under an astigmatic transformation. The...
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Smooth momentum: improving lipschitzness in gradient descent
Deep neural network optimization is challenging. Large gradients in their chaotic loss landscape lead to unstable behavior during gradient descent....
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Ab initio real-time quantum dynamics of charge carriers in momentum space
Application of the non-adiabatic molecular dynamics (NAMD) approach is limited to studying carrier dynamics in the momentum space, as a supercell is...
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Accelerating Continuous Variable Coherent Ising Machines via Momentum
The Coherent Ising Machine (CIM) is a non-conventional architecture that takes inspiration from physical annealing processes to solve Ising problems...
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Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs
Artificial intelligence techniques for financial time series analysis have been used to enhance momentum trading methods. However, most previous...
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Nonlinear frequency domain spline prioritization optimization generalized maximum correntropy criterion evolved momentum adaptive filtering
The interference of impulsive noise is very common in the identification of nonlinear systems. The spline prioritization optimization generalized...
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Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification
Spam emails have become more prevalent, necessitating the development of more effective and reliable anti-spam filters. Internet users face security...
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Dynamic Momentum for Deep Learning with Differential Privacy
Deep learning models are often incompetent to privacy attacks, resulting in the leakage of private data. Recently, Differentially-Private Stochastic...
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FAIR-FATE: Fair Federated Learning with Momentum
While fairness-aware machine learning algorithms have been receiving increasing attention, the focus has been on centralized machine learning,...
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Financial time series forecasting based on momentum-driven graph signal processing
Forecasting is important for social development and industrial production in today’s complex and fluctuating economic environment. The nonlinearity...
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Multi-feed multi-mode metasurface for independent orbital angular momentum communication in dual polarization
The wavefront control of spin or orbital angular momentum (OAM) is widely applied in the optical and radio fields. However, most passive metasurfaces...
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An Efficient Momentum Framework for Face-Voice Association Learning
Cross-modal face-voice association is an active field that utilizes biometric features for cross-modal information retrieval. The primary approach...
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Robust stochastic gradient descent with momentum based framework for enhanced chest X-ray image diagnosis
Our study focuses on the difficulties that radiologists encounter while interpreting Chest X-Ray images, which arise from the inherent ambiguity. We...
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Bold driver and static restart fused adaptive momentum for visual question answering
Stacked attention networks (SANs) are one of the most classic models for visual question answering (VQA) and have effectively promoted the research...
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Improving Transferability of Adversarial Attacks with Gaussian Gradient Enhance Momentum
Deep neural networks (DNNs) can be susceptible to subtle perturbations that may mislead the model. While adversarial attacks are successful in the...
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Adversarial example generation for object detection using a data augmentation framework and momentum
Object detection plays a vital role in numerous fields, including unmanned vehicles, security, and industry, among others. However, recent studies...
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Two momentum contrast in triplet for unsupervised visual representation learning
In unsupervised representational learning, self-supervised learning has made great progress due to its combination with contrastive learning. The...
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The Momentum Map** of the Affine Real Symplectic Group
In this paper we explain how the cocycle of the momentum map of the action of the affine symplectic group on...