Search Results - "Dias, Madson"

Training soft margin support vector machines by simulated annealing: A dual approach by Dantas Dias, Madson L., Rocha Neto, Ajalmar R.

“…•It was proposed a method to solve the dual quadratic optimization problem of SVMs.•The proposal named SATE is based on simulated annealing.•The objective…”
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Fixed-Size Extreme Learning Machines Through Simulated Annealing by Dias, Madson L. D., de Sousa, Lucas S., Rocha Neto, Ajalmar R., Freire, Ananda L.

“…Extreme learning machines (ELMs) are an interesting alternative to multilayer perceptrons because ELMs, in practice, require the optimization only of the…”
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Anomaly Detection in Trajectory Data with Normalizing Flows by Dias, Madson L. D., Mattos, Cesar Lincoln C., da Silva, Ticiana L. C., de Macedo, Jose Antonio F., Silva, Wellington C. P.

“…The task of detecting anomalous data patterns is as important in practical applications as challenging. In the context of spatial data, recognition of…”
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Edge AI for Internet of Medical Things: A literature review by Rocha, Atslands, Monteiro, Matheus, Mattos, César, Dias, Madson, Soares, Jorge, Magalhães, Regis, Macedo, José

“…The Internet of Things (IoT) consists of heterogeneous devices such as wearables and monitoring devices that collect data to provide autonomous decision-making…”
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Anomaly Detection in Trajectory Data with Normalizing Flows by Dias, Madson L. D, Mattos, César Lincoln C, da Silva, Ticiana L. C, de Macedo, José Antônio F, Silva, Wellington C. P

“…The task of detecting anomalous data patterns is as important in practical applications as challenging. In the context of spatial data, recognition of…”
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Evolutionary support vector machines: A dual approach by Dantas Dias, Madson Luiz, Rocha Neto, Ajalmar R.

“…A theoretical advantage of large margin classifiers such as Support Vector Machines (SVM) concerns the empirical and structural risk minimization which…”
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Sparse Minimal Learning Machines Via L1/2 Norm Regularization by Dias, Madson L.D., Freire, Ananda L., Souza, Amauri H., da Rocha Neto, Ajalmar R., Gomes, Joao P.P.

“…The Minimal Learning Machine (MLM) is a supervised method in which learning consists of fitting a multiresponse linear regression model between distances…”
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