Mostrando 1 - 20 resultados de 516 para a busca 'algorithms training programa', tempo de busca: 0,15s

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

... 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

4

... 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

5

... 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

6

... 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

11

... 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

12

... change while it is still fresh in one’s mind. On the other hand, the model training can be done...

Batch algorithms and fixed prediction rates for online Just-In-Time Software Defect Prediction

Publicado em 2021
Dissertação

13

...Despite the success of evolutionary and swarm-based algorithms in many different application areas...

Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning

Publicado em 2021
Tese

14

... de tratamento é de fundamental importância, permitindo a análise dos dados gerados nos programas...

Machine learning algorithms for assessment and prediction of the performance of wastewater treatment plants

Publicado em 2024
Tese

16