Results 11 to 20 of about 118,657 (309)

Self-weighted Robust LDA for Multiclass Classification with Edge Classes [PDF]

open access: yesACM Transactions on Intelligent Systems and Technology, 2020
Linear discriminant analysis (LDA) is a popular technique to learn the most discriminative features for multi-class classification. A vast majority of existing LDA algorithms are prone to be dominated by the class with very large deviation from the ...
Caixia Yan   +6 more
semanticscholar   +1 more source

Knowledge and Skill Sets for Big Data Professions: Analysis of Recruitment Information Based on The Latent Dirichlet Allocation Model [PDF]

open access: yesAmfiteatru Economic, 2022
Universities, enterprises, and students are the key subjects in the talent training system of Big Data. This study used text mining, interviews, questionnaires, and other methods to analyze the characteristics and deficiencies of Chinese universities ...
Aiting Xu   +4 more
doaj   +1 more source

Linear response approach to the calculation of the effective interaction parameters in the LDA + U method [PDF]

open access: yes, 2004
In this work we reexamine the LDA+U method of Anisimov and coworkers in the framework of a plane-wave pseudopotential approach. A simplified rotational-invariant formulation is adopted.
M. Cococcioni, Stefano de Gironcoli
semanticscholar   +1 more source

FF-PCA-LDA: Intelligent Feature Fusion Based PCA-LDA Classification System for Plant Leaf Diseases

open access: yesApplied Sciences, 2022
Crop leaf disease management and control pose significant impact on enhancement in yield and quality to fulfill consumer needs. For smart agriculture, an intelligent leaf disease identification system is inevitable for efficient crop health monitoring ...
Safdar Ali   +5 more
semanticscholar   +1 more source

Deep generative LDA

open access: yesCoRR, 2020
Linear discriminant analysis (LDA) is a popular tool for classification and dimension reduction. Limited by its linear form and the underlying Gaussian assumption, however, LDA is not applicable in situations where the data distribution is complex. Recently, we proposed a discriminative normalization flow (DNF) model.
Yunqi Cai, Dong Wang 0013
openaire   +2 more sources

Sub-watershed prioritization using morphometric analysis, principal component analysis, hypsometric analysis, land use/land cover analysis, and machine learning approaches in the Peddavagu River Basin, India

open access: yesJournal of Water and Climate Change, 2023
Water resource management is critical in the face of climate change to reduce water scarcity and meet the demands of an expanding population. Prioritization of watersheds has gained significance in natural resource management, particularly in the context
Padala Raja Shekar   +3 more
doaj   +1 more source

A Pipeline for Graph-Based Monitoring of the Changes in the Information Space of Russian Social Media during the Lockdown

open access: yesМониторинг общественного мнения: экономические и социальные перемены, 2021
With the COVID-19 outbreak and the subsequent lockdown, social media became a vital communication tool. The sudden outburst of online activity influenced information spread and consumption patterns.
Вера Владимировна Данилова   +2 more
doaj   +1 more source

A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning

open access: yesInformation and Software Technology, 2021
Context:Latent Dirichlet Allocation (LDA) has been successfully used in the literature to extract topics from software documents and support developers in various software engineering tasks.
Annibale Panichella
semanticscholar   +1 more source

Entity Profiling to Identify Actor Involvement in Topics of Social Media Content

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020
The efficiency of using social media affected modern society's nature and communication; they are more interested in talking through social media than meeting in the real world.
Puji Winar Cahyo, Muhammad Habibi
doaj   +1 more source

Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The rich spectral information provided by hyperspectral imaging has made this technology very useful in the classification of remotely sensed data. However, classification of hyperspectral data is typically affected by noise and the Hughes phenomenon due
S. Fabiyi   +3 more
semanticscholar   +1 more source

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