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Evaluating n-gram Models for a Bilingual Word Sense Disambiguation Task
(Revista Computación y Sistemas; Vol. 15 No. 2, 2011-12-13)
Abstract. The problem of Word Sense Disambiguation (WSD) is about selecting the correct sense of an ambiguous word in a given context. However, even if the problem of WSD is difficult, when we consider its bilingual version, ...
Modelos probabilísticos e não probabilísticos de classificação binária para pacientes com ou sem demência como auxílio na prática clínica em geriatria.
(Universidade Estadual Paulista (Unesp), 2020-02-27)
Os objetivos deste trabalho foram apresentar modelos de classificação (Regressão Logística, Naive Bayes, Árvores de Classificação, Random Forest, k-Vizinhos mais próximos e Redes Neurais Artificiais) e a comparação destes ...
Resiliency Assessment in Distribution Networks Using GIS-Based Predictive Risk Analytics
(Ieee-inst Electrical Electronics Engineers Inc, 2019-11-01)
A new predictive risk-based framework is proposed to increase power distribution network resiliency by improving operator understanding of the status of the grid. This paper expresses the risk assessment as the correlation ...
Strategy to predict high and low frequency behaviors using triaxial accelerometers in grazing of beef cattle
(2021-12-01)
Knowledge of animal behavior can be indicative of the well-being, health, productivity, and reproduction of animals. The use of accelerometers to classify and predict animal behavior can be a tool for continuous animal ...
Redes bayesianas con algoritmos basados en restricciones, scores e híbridos aplicados al problema de clasificación
(Universidad Nacional del Santa, 2016)
Las redes Bayesianas son gráficos acíclicos dirigidos que codifican las relaciones de
dependencia e independencia condicional en un conjunto de variables predictoras.
En este trabajo de investigación se presentan tres ...
Análisis comparativo de clasificadores para la detección de subtipos de cáncer
(Universidad Señor de SipánPE, 2021)
En la actualidad el cáncer es una de las primeras causas de muerte a nivel mundial,
en la ingeniería el aprendizaje automático se está utilizando para analizar datos y
aprender de ellos, consecuentemente son capaces de ...
Apresentando o teorema de Bayes por meio de aplicações
(Universidade Federal de São CarlosUFSCarCâmpus SorocabaMatemática - ML-So, 2022-04-20)
The main objective in this work is to present the Bayes Theorem through some of its main applications: the Bayesian Decision Theory, the Naive Bayes Algorithm and in the basic education. Despite at the beginning there was ...