Results 131 to 140 of about 371,575 (291)

A Kernel-Based Semi-Naive Bayes Classifier Using P-trees

open access: yes, 2008
The Naive Bayes classifier, despite its simplistic nature, has remained popular over the years and outperforms more complex classifiers in many settings, in particular where the feature space dimension is high.
n.n.
core  

Fault‐Specific Diagnostic Regions Based on Normalized DC Voltage and Current Indices for Photovoltaic Systems Using Routine Inverter and Environmental Data

open access: yesEnergy Science &Engineering, EarlyView.
This study proposes a fault diagnostic approach for photovoltaic systems using normalized DC voltage and current indices derived from routinely collected inverter and environmental data. The approach enables string‐ and array‐level fault diagnosis without additional measurement equipment and supports operation and maintenance decision‐making.
Woo Gyun Shin   +5 more
wiley   +1 more source

PENERAPAN METODE NAIVE BAYES CLASSIFIER UNTUK KLASIFIKASI TOPIK BERITA [PDF]

open access: yes, 2017
Berita telah menjadi salah satu kebutuhan yang tidak bisa dihilangkan dari kehidupan sehari-hari tidak hanya melalui Televisi, Radio ataupun melalui situs-situs berita online. Namun tidak semua berita berhubungan dengan kata kunci olahraga,
RANDY NOVANDIKA IBRAHIM
core   +1 more source

Artificial Intelligence-Based Effective Detection of Parkinson’s Disease Using Voice Measurements

open access: yesEngineering Proceedings
Parkinson’s disease (PD) is a neurodegenerative illness that affects the central nervous system and leads to a gradual degeneration of neurons that results in movement slowness, mental health problems, speaking difficulties, etc.
Gogulamudi Pradeep Reddy   +4 more
doaj   +1 more source

Opinion Mining dengan Menggunakan Multinomial Naive Bayes Classifier pada Blog [PDF]

open access: yes, 2012
ABSTRAKSI: Opini ada salah satu alat yang menggambarkan ekspresi seseorang. Opini saat ini sangat dibutuhkan untuk menentukan kualitas produk perusahaan terhadap konsumen.
Nur Azizah Vidya
core  

Diagnosis of bacteraemia in neonatal foals using 16S rRNA high‐throughput sequencing

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Sepsis is an important cause of morbidity and mortality in foals. Early diagnosis can improve outcome but is complicated by non‐specific clinical signs and delayed confirmation of infection via blood culture. Molecular assays represent a rapid and more sensitive alternative.
Flavie Payette   +7 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

Tree Kernel Usage in Naive Bayes Classifiers

open access: yes, 2012
We present a novel approach in machine learning by combining naive Bayes classifiers with tree kernels. Tree kernel methods produce promising results in machine learning tasks containing treestructured attribute values. These kernel methods are used to compare two tree-structured attribute values recursively.
openaire   +3 more sources

Disturbance from restoration reseeding is associated with short‐term topsoil carbon loss and alters soil bacterial communities and functions in degraded alpine meadows of the Qinghai–Xizang Plateau

open access: yesGrassland Research, EarlyView.
Restoration reseeding of degraded alpine meadows increased aboveground vegetation but was associated with short‐term topsoil carbon loss, coinciding with a microbial strategy shift from resident carbon‐preserving to carbon‐spending bacterial guilds. Abstract Background Restoration of degraded ecosystems is widely promoted as a nature‐based solution ...
Long‐Tao Zhu   +9 more
wiley   +1 more source

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