Buscar
Mostrando ítems 1-10 de 2268
LEARNING SPAM FEATURES USING RESTRICTED BOLTZMANN MACHINES
(Iadis, 2016-01-01)
Nowadays, spam detection has been one of the foremost machine learning-oriented applications in the context of security in computer networks. In this work, we propose to learn intrinsic properties of e-mail messages by ...
Aplicação de técnicas de Machine Learning na combinação de pesquisas eleitorais
(Universidade Federal do Rio Grande do NorteBrasilUFRNEstatística, 2018-12-05)
The Brazilian electoral polls are made, mostly, from a non-probabilistic sample plan by
quotas. Thus, there is an accumulation of uncertainties regarding the estimates obtained,
since there is no way to guarantee that ...
Identification of significative lidar metrics and comparison of machine learning approaches for estimating stand and diversity variables in heterogeneous brazilian atlantic forest
(2021-07-01)
Data collection and estimation of variables that describe the structure of tropical forests, diversity, and richness of tree species are challenging tasks. Light detection and ranging (LiDAR) is a powerful technique due ...
HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?
(World Scientific Publ Co Pte Ltd, 2012-03-01)
With several good research groups actively working in machine learning (ML) approaches, we have now the concept of self-containing machine learning solutions that oftentimes work out-of-the-box leading to the concept of ...
Efficient supervised optimum-path forest classification for large datasets
(Elsevier B.V., 2012-01-01)
Today data acquisition technologies come up with large datasets with millions of samples for statistical analysis. This creates a tremendous challenge for pattern recognition techniques, which need to be more efficient ...
Efficient supervised optimum-path forest classification for large datasets
(Elsevier B.V., 2012-01-01)
Today data acquisition technologies come up with large datasets with millions of samples for statistical analysis. This creates a tremendous challenge for pattern recognition techniques, which need to be more efficient ...
Malware Detection in Android-based Mobile Environments using Optimum-Path Forest
(Elsevier B.V., 2015-01-01)
Nowadays, people use smartphones and tablets with the very same purposes as desktop computers: web browsing, social networking and home-banking, just to name a few. However, we are often facing the problem of keeping our ...
Blur parameter identification through optimum-path forest
(2017-01-01)
Image acquisition processes usually add some level of noise and degradation, thus causing common problems in image restoration. The restoration process depends on the knowledge about the degradation parameters, which is ...
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines
(Elsevier B.V., 2021-04-01)
Parkinson's disease (PD) is a progressive neurodegenerative illness associated with motor skill disorders, affecting thousands of people, mainly elderly, worldwide. Since its symptoms are not clear and commonly confused ...
Predicción de partidas en Valorant: utilizando algoritmos de Machine Learning, Random Forest y XGBoost
(Universidad del Desarrollo. Facultad de Ingeniería, 2023-01)
El mundo de los videojuegos experimentó un notable avance cuando fue posible jugar a distancia con cualquier persona en cualquier parte del mundo. El acceso a internet y la notable evolución de la transferencia de datos, ...