Self-supervised learning for neural topic models with variance–invariance–covariance regularization
Sign Up to like & getrecommendations! Published in 2025 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-025-02367-9
Abstract: In our study, we propose a self-supervised neural topic model (NTM) that combines the power of NTMs and regularized self-supervised learning methods to improve performance. NTMs use neural networks to learn latent topics hidden behind… read more here.
Keywords: learning neural; neural topic; topic models; self supervised ... See more keywords
Prostate cancer classification from prostate biomedical data using ant rough set algorithm with radial trained extreme learning neural network
Sign Up to like & getrecommendations! Published in 2018 at "Health and Technology"
DOI: 10.1007/s12553-018-0279-6
Abstract: Prostate cancer is commonly occurs in prostate that affects small walnut and generates the seminal fluid for men. This disease is happening due to urinating trouble, blood semen, bone pain, stream of urine other harmful… read more here.
Keywords: prostate; prostate cancer; biomedical data; prostate biomedical ... See more keywords
Deep associative learning for neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.012
Abstract: Abstract Neural learning plays an important role in many applications. In this paper, we derive a new learning paradigm for neural networks. Most existing neural models train network parameters including connecting weights and biases via… read more here.
Keywords: associative learning; neural networks; deep associative; learning neural ... See more keywords
Programmable piezoelectric phononic crystal beams with shunt circuits: A deep learning neural network-assisted design strategy for real-time tunable bandgaps
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Physics"
DOI: 10.1063/5.0230001
Abstract: A deep learning neural network-assisted design strategy for programmable piezoelectric phononic crystal (PnC) beams with shunt circuits is proposed. The feasibility of integrating deep learning into the design of tunable PnCs to achieve real-time vibration… read more here.
Keywords: deep learning; learning neural; real time; shunt ... See more keywords
Learning Neural Free-Energy Functionals with Pair-Correlation Matching.
Sign Up to like & getrecommendations! Published in 2024 at "Physical review letters"
DOI: 10.1103/physrevlett.134.056103
Abstract: The intrinsic Helmholtz free-energy functional, the centerpiece of classical density functional theory, is at best only known approximately for 3D systems. Here we introduce a method for learning a neural-network approximation of this functional by… read more here.
Keywords: learning neural; neural free; energy; free energy ... See more keywords
Reinforcement Learning with Neural Networks for Quantum Feedback
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review X"
DOI: 10.1103/physrevx.8.031084
Abstract: Machine learning with artificial neural networks is revolutionizing science. The most advanced challenges require discovering answers autonomously. This is the domain of reinforcement learning, where control strategies are improved according to a reward function. The… read more here.
Keywords: network based; neural networks; physics; reinforcement learning ... See more keywords
Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230688
Abstract: Neuroprosthetics have demonstrated the potential to decode speech from intracranial brain signals, and hold promise for one day returning the ability to speak to those who have lost it. However, data in this domain is… read more here.
Keywords: speech; learning neural; supervised learning; neural speech ... See more keywords
Learning Neural Network-Based Fault-Tolerant Formation Control for Elliptical Orbit Spacecraft
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2023.3344390
Abstract: This article presents an active fault-tolerant formation control method based on learning neural network approaches for elliptical orbit spacecraft with thruster faults. To approximate thruster fault/synthesized perturbation online, we propose a learning radial basis function… read more here.
Keywords: learning neural; control; neural network; fault ... See more keywords
Nonlinear Control System with Reinforcement Learning and Neural Networks Based Lyapunov Functions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2021.9475855
Abstract: This paper deals with the problem of finding the control Lyapunov function that keeps the system stable. To find the Lyapunov function, this paper proposes the use of reinforcement learning with two neural networks based… read more here.
Keywords: based lyapunov; control; reinforcement learning; neural networks ... See more keywords
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3191093
Abstract: Neural-symbolic learning, aiming to combine the perceiving power of neural perception and the reasoning power of symbolic logic together, has drawn increasing research attention. However, existing works simply cascade the two components together and optimize… read more here.
Keywords: neural perception; joint learning; learning neural; logical reasoning ... See more keywords
Construction and Research on Chinese Semantic Mapping Based on Linguistic Features and Sparse Self-Learning Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2315802
Abstract: In this paper, we adopt the algorithms of linguistic feature Rong and sparse self-learning neural network to conduct an in-depth study and analysis of Chinese semantic mapping, which complements the emotion semantic representation ability of… read more here.
Keywords: self learning; chinese semantic; learning neural; sparse self ... See more keywords