Results 1 to 10 of about 130,884 (165)
Parsimonious Naive Bayes [PDF]
Annals of computer science and information systems, 2014 We describe our submission to the AAIA′14 Data Mining Competition, where the objective was to reach good predictive performance on text mining classification problems while using a small number of variables. Our submission was ranked 6th, less than 1% behind the winner.
Marc Boullé
doaj +4 more sources
Exact Learning Augmented Naive Bayes Classifier. [PDF]
Entropy (Basel), 2021 Earlier studies have shown that classification accuracies of Bayesian networks (BNs) obtained by maximizing the conditional log likelihood (CLL) of a class variable, given the feature variables, were higher than those obtained by maximizing the marginal likelihood (ML).
Sugahara S, Ueno M.
europepmc +6 more sources
PERBANDINGAN JARINGAN SYARAF TIRUAN DAN NAIVE BAYES DALAM DETEKSI SESEORANG TERKENA PENYAKIT STROKE [PDF]
Jurnal MIPA, 2014 Tujuan penelitian ini adalah membuat aplikasi Jaringan Syaraf Tiruan dan Naive Bayes untuk memprediksi penyakit stroke dan membandingkan tingkat akuratan dari kedua metode yang digunakan.
I Rohmana, R Arifudin
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PENERAPAN ALGORITMA NAIVE BAYES UNTUK MENGKLASIFIKASI DATA NASABAH ASURANSI [PDF]
Jurnal Informatika, 2014 Data mining adalah teknik yang memanfaatkan data dalam jumlah yang besar untuk memperoleh informasi berharga yang sebelumnya tidak diketahui dan dapat dimanfaatkan untuk pengambilan keputusan penting. Pada penelitian ini, penulis berusaha menambang data (
Bustami Bustami
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Contextualizing Naive Bayes Predictions [PDF]
Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020 A classification process can be seen as a set of actions by which several objects are evaluated in order to predict the class(es) those objects belong to. In situations where transparency is a necessary condition, predictions resulting from a classification process are needed to be interpretable.
Loor M, De Tré G.
europepmc +3 more sources
Forward Stagewise Naive Bayes [PDF]
, 2012 The naïve Bayes approach is a simple but often satisfactory method for supervised classification. In this paper, we focus on the naïve Bayes model and propose the application of regularization techniques to learn a naïve Bayes classifier.
Bielza, Concha +2 more
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Structure Extension of Tree-Augmented Naive Bayes [PDF]
Entropy, 2019 Due to the simplicity and competitive classification performance of the naive Bayes (NB), researchers have proposed many approaches to improve NB by weakening its attribute independence assumption.
Yuguang Long, Limin Wang, Minghui Sun
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Implementasi Sistem Klasifikasi Tim Kerja Menggunakan Algoritma Naïve Bayes (Studi Kasus: PT.MNL)
Jurnal Teknologi dan Sistem Informasi, 2023 PT.MNL adalah perusahaan swasta yang bergerak dibidang jasa kehutanan khususnya Hutan Tanaman Industri. Perusahaan memiliki banyak areal kerja yang memiliki banyak tim kerja di semua arealnya.
Tasya Angelya +2 more
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Improved naive Bayes classification algorithm for traffic risk management
EURASIP Journal on Advances in Signal Processing, 2021 Naive Bayesian classification algorithm is widely used in big data analysis and other fields because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive Bayes classification algorithm, this paper uses feature weighting and
Hong Chen +3 more
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Perbandingan Algoritma Selection Feature Query Expansion Ranking dan Symmetrical Uncertainty Pada Instagram Terkait Sengketa ZEE di Perairan Natuna [PDF]
, 2021 Algoritma Naïve Bayes adalah untuk menggabungkan probabilitas kata-kata dan kategori untuk memperkirakan probabilitas kategorikan dokumen. Naïve Bayes ini merupakan algoritma klasifikasi yang sering digunakan dalam sebuah penelitian salah satunya ...
Aditya, Christian Sri Kusuma +2 more
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