Buscar
Mostrando ítems 31-40 de 4399
Intrusion Detection System Based On Flows Using Machine Learning Algorithms
(Ieee-inst Electrical Electronics Engineers Inc, 2017-10-01)
The use of technology by different types of devices generates a large flow of confidential and personal information. Referencing this situation, it is necessary to use computer security tools, such as Intrusion Detection ...
Applicability of computer vision in seed identification: Deep learning, random forest, and support vector machine classification algorithms
(2021-01-01)
The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose ...
An investigative analysis of obvious and non-obvious Bias in judicial data using supervised and unsupervised machine learning techniques
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO, 2021-07-05)
Dynamic and static task mapping in a network-on-chip using machine learning techniques
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2015-12-16)
Machine learning techniques for simultaneous determination of parameters associated with the k0 method of neutron activation analysis
(Associa????o Brasileira de Energia Nuclear, 2021)
Evolutionary model trees for handling continuous classes in machine learning
(ELSEVIER SCIENCE INC, 2011)
Model trees are a particular case of decision trees employed to solve regression problems. They have the advantage of presenting an interpretable output, helping the end-user to get more confidence in the prediction and ...
A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosCiência da Computação - CC, 2015-12-11)
This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in ...
Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2021-05-25)
AutoML has the goal to find the best Machine Learning (ML) pipeline in a complex and high dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms is time costly, and as ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...