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Mostrando 1 - 20 resultados de 930 para a busca '(algorithms OR algorithm) training program*', tempo de busca: 0,22s

1

.... In general, the present work presents different approaches to training these techniques, as well as the...

On the training algorithms for Restricted Boltzmann Machine-Based Models

Publicado em 2018
Tese

2

..., we aim to compare different machine learning algorithms and quantum machine learning in the context...

Use of quantum algorithms for classification of rolling bearing damage

Publicado em 2023
Dissertação

3

... statistical performance depends on other factors of the algorithms used for training, the computing platform...

Fully parallel implementation of an SVM with SGD-based training on FPGA

Publicado em 2021
Dissertação

4

... três novos métodos baseados na técnica de nossa autoria o Co-op Training, nos quais são utilizados dois...

Propostas de métodos baseados em Co-op training para aprendizado semi-supervisionado em fluxos contínuos de dados

Publicado em 2022
Dissertação

5

... que essa abordagem aumenta a diversidade dos classificadores. Algoritmos como o co-training e o tri-training utilizam...

Social training : aprendizado semi supervisionado utilizando funções de escolha social

Publicado em 2017
Dissertação

6

...Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós...

Algorithm selection framework for legalization using deep convolutional neural networks

Publicado em 2022
Tese

7

...Dissertação (mestrado) - Universidade Federal de Santa Catarina, Campus Joinville, Programa de Pós...

Anti-slip control with an actor-critic reinforcement learning algorithm

Publicado em 2019
Dissertação

8

...In order to develop a passive microwave-based satellite precipitation estimation algorithm...

Development of a passive microwave-based satellite precipitation estimation algorithm for Brazil

Publicado em 2019
Tese

9

... on developing algorithms based on mathematical theories for single image super­ resolution problems. lndeed...

Algorithms for super-resolution of images based on Sparse Representation and Manifolds

Publicado em 2016
Tese

10

... algorithms, which aim to make the training process harder but generate models that generalize better...

Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks

Tese

15

... de classificadores implementados em hardware com Circuitos Integrados de Aplicação Específica ou Field Programmable...

Resilient training of neural network classifiers with approximate computing techniques for a hardware-optimized implementation

Publicado em 2019
Tese

16

... environments considered for training GP. Through E-GP together with genetic algorithms, we were able to select...

Enviromics, nonlinear kernels and optimized training sets for a climate-smart genomic prediction of yield plasticity in maize

Publicado em 2021
Tese

17

... dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms...

Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem

Publicado em 2021
Dissertação

19

...Dissertação (mestrado) - Universidade Federal de Santa Catarina, Campus Joinville, Programa de Pós...

Deep reinforcement learning algorithm for basic autonomous emergency braking system developed in a simulated environment

Publicado em 2023
Dissertação