Results 81 to 90 of about 131,003 (284)

Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky, Sarjon Defit, Gunadi Widi Nurcahyo   +2 more
doaj   +1 more source

Wallenius Naive Bayes [PDF]

, 2013
Traditional event models underlying naive Bayes classifiers assume probability distributions that are not appropriate for binary data generated by human behaviour.
Junque de Fortuny, Enric, Martens, David, Provost, Foster   +2 more
core  

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

Machine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier, Jörg Hoffmann, Michael C. Thrun   +2 more
doaj   +1 more source

Klasifikasi Data NAP (Nota Analisis Pembiayaan) untuk Prediksi Tingkat Keamanan Pemberian Kredit (Studi Kasus : Bank Syariah Mandiri Cabang Luwuk Sulawesi Tengah)

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015
Abstrak Setiap bulannya bank syariah mandiri cabang luwuk menerima proposal kredit (NAP) dari nasabah dalam jumlah yang terus meningkat dan perlu respon yang cepat.
Sumarni Adi, Edi Winarko
doaj   +1 more source

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier [PDF]

, 2015
We compare in this paper several feature selection methods for the Naive Bayes Classifier (NBC) when the data under study are described by a large number of redundant binary indicators.
Cottrell, Marie, Lacaille, Jérôme, Rabenoro, Tsirizo, Rossi, Fabrice   +3 more
core   +3 more sources

Altered Nasal Microbiota in Sinonasal Tumors: A Comparative Analysis of Malignant and Benign Sinonasal Tumors

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Although shifts in nasal microbiota have been well‐documented in inflammatory upper airway conditions, microbiota tumor‐associated alterations remain uncharacterized. This study is the first to compare sinonasal microbiota profiles of patients with malignant tumors (MT), benign tumors (BT), and controls, offering insights into tumor‐
Evan A. Patel, Phillip A. Engen, Glen D. Souza, Sarah Khalife, Donyea Moore, Lauren Kret, Pedro Escobedo, Stefan J. Green, Ankur Naqib, Peter Filip, Peter Papagiannopoulos, Bobby A. Tajudeen, Mahboobeh Mahdavinia, Pete S. Batra   +13 more
wiley   +1 more source

Analisis Sentimen Ulasan Game Stumble Guys Pada Playstore Menggunakan Algoritma Naïve Bayes

Teknika
Perkembangan teknologi yang pesat mempermudah akses ke berbagai hiburan digital, termasuk game online seperti Stumble Guys, yang telah diunduh lebih dari 163 juta kali dan mendapatkan ulasan beragam di Google Play Store.
Awang Herjunie Nurdy, Abdul Rahim, Arbansyah   +2 more
doaj   +1 more source

PREDIKSI TINGKAT KELANCARAN PEMBAYARAN KREDIT BANK MENGGUNAKAN ALGORITMA NAÏVE BAYES BERBASIS FORWARD SELECTION

Ilkom Jurnal Ilmiah, 2017
Tujuan dari Penelitian ini adalah Mengoptimalkan algoritma Naïve Bayes dengan seleksi fitur Forward Selection untuk dapat meningkatkan hasil akurasi atau tingkat keberhasilan yang didapatkan dari prediksi pembayaran kredit.Data yang akan digunakan dalam ...
Maryam Hasan
doaj   +1 more source

Naive Feature Selection: Sparsity in Naive Bayes

, 2019
Due to its linear complexity, naive Bayes classification remains an attractive supervised learning method, especially in very large-scale settings. We propose a sparse version of naive Bayes, which can be used for feature selection.
Askari, Armin, d'Aspremont, Alexandre, Ghaoui, Laurent El   +2 more
core