Search Results - "Ludermir, Teresa Bernarda"

Inteligência Artificial e Aprendizado de Máquina: estado atual e tendências by Ludermir, Teresa Bernarda

“…RESUMO A área de Inteligência Artificial demonstrou avanços extraordinários nos últimos anos e, atualmente, é utilizada para solucionar inúmeros problemas…”
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Quantum perceptron over a field and neural network architecture selection in a quantum computer by da Silva, Adenilton José, Ludermir, Teresa Bernarda, de Oliveira, Wilson Rosa

“…In this work, we propose a quantum neural network named quantum perceptron over a field (QPF). Quantum computers are not yet a reality and the models and…”
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Analyzing the impact of data representations in classification problems using clustering by Farias, Felipe Costa, Bernarda Ludermir, Teresa, Bastos-Filho Ecomp, Carmelo J. A., Rosendo da Silva Oliveira, Flavio

“…This work presents an investigation about how to better represent output data labels to be used in supervised training of classifiers. The posed hypothesis is…”
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Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning by de Lacerda, Marcelo Gomes Pereira, de Lima Neto, Fernando Buarque, Ludermir, Teresa Bernarda, Kuchen, Herbert

“…Parameter control methods for metaheuristics with reinforcement learning put forward so far usually present the following shortcomings: (1) Their training…”
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Natural image segmentation with non-extensive mixture models by Stosic, Dusan, Stosic, Darko, Ludermir, Teresa Bernarda, Ren, Tsang Ing

“…Finite mixture models have been widely used for image segmentation in many computer vision and pattern recognition problems. While images of natural scenes are…”
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A systematic literature review on general parameter control for evolutionary and swarm-based algorithms by Gomes Pereira de Lacerda, Marcelo, de Araujo Pessoa, Luis Filipe, Buarque de Lima Neto, Fernando, Ludermir, Teresa Bernarda, Kuchen, Herbert

“…This paper presents a systematic literature review on general parameter control for evolutionary and swarm-based algorithms. General methods can be applied to…”
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Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization by Gomes Pereira de Lacerda, Marcelo, de Andrade Amorim Neto, Hugo, Ludermir, Teresa Bernarda, Kuchen, Herbert, Buarque de Lima Neto, Fernando

“…We present an innovative step towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective…”
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Improving self-organization of document collections by semantic mapping by Corrêa, Renato Fernandes, Ludermir, Teresa Bernarda

“…In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning…”
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A quickly trainable hybrid SOM-based document organization system by Corrêa, Renato Fernandes, Ludermir, Teresa Bernarda

“…The large volume of nowadays document collections has increased the need of fast trainable document organization systems. This paper presents and evaluates a…”
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Frankenstein PSO applied to neural network weights and architectures by de Lima, Natalia Flora, Ludermir, Teresa Bernarda

“…In this paper we present the FPSO A -FPSO P a modified version of Frankstein Particle Swarm Optimization (FPSO), which is used to adjust the weights and…”
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Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay by Farias, Felipe Costa, Ludermir, Teresa Bernarda, Bastos-Filho, Carmelo José Albanez

“…The model selection procedure is usually a single-criterion decision making in which we select the model that maximizes a specific metric in a specific set,…”
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Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures by Farias, Felipe Costa, Ludermir, Teresa Bernarda, Bastos-Filho, Carmelo Jose Albanez

“…The definition of a Neural Network architecture is one of the most critical and challenging tasks to perform. In this paper, we propose ParallelMLPs…”
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SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases by Pontes, Tarcisio, Vimieiro, Renato, Ludermir, Teresa Bernarda

“…It is a great challenge to companies, governments and researchers to extract knowledge in high dimensional databases. Discriminative Patterns (DPs) is an area…”
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Quantum Neural Networks Learning Algorithm Based on a Global Search by de Paula Neto, Fernando Maciano, Ludermir, Teresa Bernarda, de Oliveira, Wilson Rosa

“…This paper reports the performance of a novel training algorithm for quantum neural networks (QNN) using a variation of the quantum search algorithm. The…”
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A Hybrid SOM-Based Document Organization System by Correa, Renato Fernandes, Ludermir, Teresa Bernarda

“…This paper presents and evaluates a hybrid system to self-organization of massive document collections based on Self-Organizing Maps. The hybrid system uses…”
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On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms by de Lacerda, Marcelo Gomes Pereira, de Lima Neto, Fernando Buarque, de Andrade Amorim Neto, Hugo, Kuchen, Herbert, Ludermir, Teresa Bernarda

“…This work is intended to assess the learning capability of an agent implemented with a Dueling Double Deep Q-Network in the problem of parameter control for…”
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Evolutionary Radial Basis Functions for Credit Assessment by Lacerda, Estefane, Carvalho, Andr C. P. L. F., Braga, Ant nio P dua, Ludermir, Teresa Bernarda

“…Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end…”
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Population Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics by GomesPereira de Lacerda, Marcelo, Deandrade Amorim Neto, Hugo, BernardaLudermir, Teresa, Kuchen, Herbert, Buarquede Lima Neto, Fernando

“…This paper proposes a mechanism of dynamic adjustment of the population size of population based metaheuristics in order to balance its efficacy and…”
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A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting by Lorenzato de Oliveira, Joao Fausto, Ludermir, Teresa Bernarda

“…The accuracy of time series forecasting can be increased by the employment of evolutionary systems. The improvement in the precision of such systems impact…”
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Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble by Silva, Robercy Alves da, Canuto, Anne Magaly de Paula, Xavier Junior, Joaao Carlos, Ludermir, Teresa Bernarda

“…Classifier ensembles have been widely studied in the literature as an attempt to increase the performance of individual classification structures. An important…”
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