Results 151 to 160 of about 60,977 (298)
, 2005 Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surprising, because the conditional independence assumption on which it is based ...
Harry Zhang
core
Classification : Naive Bayes (script Ipynb)
, 2020 Data Mining Berisikan script pembelajaran untuk metode naive bayes dengan ...
Nursikuwagus, Agus
core
Exact Learning Augmented Naive Bayes Classifier. [PDF]
Entropy (Basel), 2021 Sugahara S, Ueno M.
europepmc +1 more source
Journal of International Development, EarlyView.ABSTRACT Food insecurity remains a persistent challenge in rural Colombia, driven by structural inequalities, livelihood constraints and exposure to shocks. This paper examined the determinants and predictive drivers of household food insecurity using nationally representative data from the Food and Agriculture Organisation (FAO) Data in Emergencies ...
Adrino Mazenda
wiley +1 more source
LINEAR DISCRIMINANT RULES for HIGH-DIMENSIONAL CORRELATED DATA: ASYMPTOTIC and FINITE SAMPLE RESULTS [PDF]
A new class of linear discrimination rules, designed for problems with many correlated variables, is proposed. This proposal tries to incorporate the most important patterns revealed by the empirical correlations and accurately approximate the optimal ...
Pedro Duarte Silva
core
High blood pressure is a significant public health problem with a high prevalence in the Indo-nesian population. 2018 Riset Kesehatan Dasar (Riskesdas) data shows a prevalence of hyperten-sion of 34.1% in individuals aged 18 years and over, with the ...
Sunarya, I Made Gede +2 more
core +1 more source
Pengukuran kinerja Spam Filter menggunakan metode Naive Bayes Classifier Graham [PDF]
, 2011 Email spam has become a major problem for internet users and providers. After several failed attempt to filter spam based on heuristic approach such as black-listing or rule-based filtering, content-based filtering using naive Bayes classifier has become
Rachman, Wildan
core
Journal of Intelligent Medicine, EarlyView.Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu +11 more
wiley +1 more source
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim +5 more
wiley +1 more source
Naive Bayes pada Google Colabs
Buku ini merupakan panduan praktis dan mendalam tentang algoritma Naive Bayes dalam penerapan pembelajaran mesin menggunakan platform Google Colab. Naive Bayes adalah salah satu algoritma klasifikasi yang paling sederhana namun efektif, sering digunakan ...
Mulyoto, A. (Ari)
core