Cover Image

Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yang, Zijiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhance the machine learning algorithm performance in phishing detection with keyword features
by: Yang, Zijiang
Published: (2025)

Similarity-based context aware continual learning for spiking neural networks
by: Han, Bing, et al.
Published: (2024)

Reconsidering the energy efficiency of spiking neural networks
by: Yan, Zhanglu, et al.
Published: (2024)

Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks
by: Yang, Yi, et al.
Published: (2024)

Gate-level boolean evolutionary geometric attention neural networks
by: Shi, Xianshuai, et al.
Published: (2025)

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
by: Keisler, Julie, et al.
Published: (2023)

Towards graph neural networks for provably solving convex optimization problems
by: Qian, Chendi, et al.
Published: (2025)

Differentiable architecture search with multi-dimensional attention for spiking neural networks
by: Man, Yilei, et al.
Published: (2024)

From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
by: Russin, Jacob, et al.
Published: (2024)

Interpolating neural network: A novel unification of machine learning and interpolation theory
by: Park, Chanwook, et al.
Published: (2024)

A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture
by: Bowen, E, et al.
Published: (2026)

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

Early stopping by correlating online indicators in neural networks
by: Ferro, Manuel Vilares, et al.
Published: (2024)

pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)

Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
by: Ahmed, Khubaib, et al.
Published: (2022)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
by: Shetty, Sanjana
Published: (2024)

Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)

Comparative analysis of neural network architectures for short-term FOREX forecasting
by: Zafeiriou, Theodoros, et al.
Published: (2024)

Kolmogorov-Arnold networks for metal surface defect classification
by: Krzywda, Maciej, et al.
Published: (2025)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)

Long-Sequence Memory with Temporal Kernels and Dense Hopfield Functionals
by: Farooq, Ahmed
Published: (2025)

Fast Genetic Algorithm for feature selection -- A qualitative approximation approach
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)

QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling
by: Nti, Isaac Kofi
Published: (2025)

QuasiNet: a neural network with trainable product layers
by: Malinovská, Kristína, et al.
Published: (2023)

Fully tensorial approach to hypercomplex-valued neural networks
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
by: Zhan, Tianxiang, et al.
Published: (2024)

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
by: Dai, Gaole, et al.
Published: (2024)

Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures
by: Mishra, Akshansh
Published: (2024)

Updating the standard neuron model in artificial neural networks
by: Mohedano, Raul, et al.
Published: (2026)

Evolutionary Ensemble of Agents
by: Yu, Zongmin, et al.
Published: (2026)

Feedback Favors the Generalization of Neural ODEs
by: Jia, Jindou, et al.
Published: (2024)

Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
by: Xie, Hui, et al.
Published: (2024)

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
by: Udupi, Himanshu, et al.
Published: (2026)

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
by: Gao, Xin, et al.
Published: (2024)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)

Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture
by: Dutta, Prasun, et al.
Published: (2025)