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A new boosting design of Support Vector Machine classifiers

Autor desconocido (Elsevier, 2015)

Boosting algorithms pay attention to the particular structure of the training data when learning, by means of iteratively emphasizing the importance of the training samples according to their difficulty for being correctly ...

Partially obscured human detection based on component detectors using multiple feature descriptors

Cáceres Hernández, Danilo; Hyun Jo, Kang; Dung Hoang, Van (2014-08-03)

This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents ...

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

dos Santos Pereira, Alexandre; Carneiro Gonçalves, Marcelo; Oscar Benitez Nara, Elpidio; de Freitas Ferraz, Thales (UFRGS, 2023)

Boosting support vector machines

Autor desconocido

Se presenta un algoritmo de clasificación binaria basado en Support Vector Machines (Máquinas de Vectores de Soporte) que combinado apropiadamente con técnicas de Boosting consigue un mejor desempeño en cuanto a tiempo de ...

Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping

Gupta, Akansha; Ghanshala, Kamal; Joshi, R. C.

This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...

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A new boosting design of Support Vector Machine classifiers

Partially obscured human detection based on component detectors using multiple feature descriptors

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

Boosting support vector machines

Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping

An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction

Comparing machine learning algorithm performance for automated trading based on fundamentals

Evaluación de Rendimientos dentro del Gradient Boosting Trees para la predicción de Covid 19.

The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest

Machine learning techniques to predict overweight or obesity

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A new boosting design of Support Vector Machine classifiers

Partially obscured human detection based on component detectors using multiple feature descriptors

Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy

Boosting support vector machines

Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping

An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction

Comparing machine learning algorithm performance for automated trading based on fundamentals

Evaluación de Rendimientos dentro del Gradient Boosting Trees para la predicción de Covid 19.

The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest

Machine learning techniques to predict overweight or obesity