New Pharmacophore Fingerprints and Weight‐matrix Learning for Virtual Screening. Application to Bcr‐Abl Data
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Informatics"
DOI: 10.1002/minf.202200210
Abstract: In this work, we propose to analyze the potential of a new type of pharmacophoric descriptors coupled to a novel feature transformation technique, called Weight‐Matrix Learning (WML, based on a feed‐forward neural network). The application… read more here.
Keywords: weight matrix; application; virtual screening; bcr abl ... See more keywords
Line attractors of coupled ring neural networks with block circulant weight matrix
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2019.1585825
Abstract: ABSTRACT The continuous attractors of neural networks with symmetric connection weights have been studied widely. However, most of the matrices are asymmetric. In this paper, the model is coupled by some subnetworks. The connection weight… read more here.
Keywords: neural networks; line; connection; block circulant ... See more keywords
Tomographic reconstruction of light field PIV based on a backward ray-tracing technique
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abd281)
Abstract: The calculation of the weight matrix is one of the key steps of the tomographic reconstruction in the light field particle image velocimetry (light field PIV) system. At present, the existing calculation method of the… read more here.
Keywords: reconstruction; field; weight matrix; method ... See more keywords
Learning-Based Cooperative False Data Injection Attack and Its Mitigation Techniques in Consensus-Based Distributed Estimation
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DOI: 10.1109/access.2020.3023117
Abstract: For the false data injection attack (FDIA) in the consensus-based distributed estimation, the information of weight matrix is critical for both attackers and defenders. In this paper, we study the impact of the weight matrix… read more here.
Keywords: based cooperative; weight matrix; learning based; fdia ... See more keywords
Rethink of Orthographic Constraints on RNN and Its Application in Acoustic Sensor Data Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3089505
Abstract: The parametrization of recurrent neural network (RNN) to solve the gradient vanishing and exploding problem is critical for sequential learning. The reason lies on eigenvalue of the gradient of loss function against the recurrent weight… read more here.
Keywords: weight matrix; application; orthographic constraints; recurrent weight ... See more keywords