Results 21 to 30 of about 27,600,540 (304)
Variations in Variational Autoencoders - A Comparative Evaluation
IEEE Access, 2020 Variational Auto-Encoders (VAEs) are deep latent space generative models which have been immensely successful in many applications such as image generation, image captioning, protein design, mutation prediction, and language models among others.
Ruoqi Wei +4 more
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Robust Graph Regularized Nonnegative Matrix Factorization
IEEE Access, 2022 Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constraint on
Qi Huang +3 more
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Design and Implementation of a Hybrid Ontological-Relational Data Repository for SIEM Systems
Future Internet, 2013 The technology of Security Information and Event Management (SIEM) becomes one of the most important research applications in the area of computer network security.
Igor Saenko +3 more
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Entropy, 2017 Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still
Peng Luo, Jinye Peng
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Multiple Graph Regularized Concept Factorization With Adaptive Weights
IEEE Access, 2018 Many traditional concept factorization methods employ single graph to approximate the manifold structure of data. Therefore, they cannot capture the underlying geometric structure hidden in data effectively.
Zhenqiu Shu +5 more
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, 2020 Data for replication of article "A Quasi-Natural Experiment on Electoral Rules and Political Representation ...
Stadelmann, D (via Mendeley Data) +4 more
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Transformers for Tabular Data Representation: A Survey of Models and Applications [PDF]
, 2023 In the last few years, the natural language processing community has witnessed advances in neural representations of free texts with transformer-based language models (LMs).
Mohammed Saeed +2 more
core +1 more source
, 2020 This spreadsheet contains data for a paper titled "'Environment-Selected Directors': An Interactive Simulation Experiment of Environmental Representation on Corporate Boards". It is derived from a codebase available at: https://github.
Tomlinson, B (via Mendeley Data) +1 more
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A Nature-Inspired Partial Distance-Based Clustering Algorithm
Journal of Sensor and Actuator NetworksIn the rapidly advancing landscape of digital technologies, clustering plays a critical role in the domains of artificial intelligence and big data. Clustering is essential for extracting meaningful insights and patterns from large, intricate datasets ...
Mohammed El Habib Kahla +3 more
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IEEE Access, 2021 Variational autoencoders (VAEs) are deep latent space generative models that have been immensely successful in multiple exciting applications in biomedical informatics such as molecular design, protein design, medical image classification and ...
Ruoqi Wei, Ausif Mahmood
doaj +1 more source