Results 41 to 50 of about 60,977 (298)

Komparasi Akurasi Metode Correlated Naive Bayes Classifier dan Naive Bayes Classifier untuk Diagnosis Penyakit Diabetes [PDF]

, 2018
Penyakit diabetes merupakan salah satu penyakit paling banyak diderita oleh manusia seluruh dunia. Setiap tahun terjadi peningkatan kematian yang disebabkan oleh penyakit diabetes.
Nugraha, Gibran Satya, Abdillah, Mokhammad Nurkholis, Hairani, Hairani, Innuddin, Muhammad   +3 more
core   +1 more source

Filtering Useful App Reviews Using Naïve Bayes—Which Naïve Bayes?

AI
App reviews provide crucial feedback for software maintenance and evolution, but manually extracting useful reviews from vast volumes is time-consuming and challenging.
Pouya Ataei, Sri Regula, Daniel Staegemann, Saurabh Malgaonkar   +3 more
doaj   +1 more source

Naïve Bayes classifiers for authorship attribution of Arabic texts

Journal of King Saud University: Computer and Information Sciences, 2014
Authorship attribution is the process of assigning an author to an anonymous text based on writing characteristics. Several authorship attribution methods were developed for natural languages, such as English, Chinese and Dutch.
Alaa Saleh Altheneyan, Mohamed El Bachir Menai   +1 more
doaj   +1 more source

Naive Bayes Classification of Uncertain Data [PDF]

2009 Ninth IEEE International Conference on Data Mining, 2009
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements, etc. With uncertainty, the value of each data item is represented by a probability distribution function (pdf). In
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, David Wai-Lok Cheung   +5 more
openaire   +2 more sources

On Pairwise Naive Bayes Classifiers [PDF]

, 2007
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can be applied to a Naive Bayes learner. The key result is that the pairwise variant of Naive Bayes is equivalent to a regular Naive Bayes.
Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier   +2 more
openaire   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Locally Weighted Naive Bayes

, 2003
Despite its simplicity, the naive Bayes classi er has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by these results, researchers have looked to overcome naive Bayes' primary
Bernhard Pfahringer, Pfahringer, Bernhard, Mark Hall, Hall, Mark A., Eibe Frank, Frank, Eibe   +5 more
core   +1 more source

Naive Bayes for regression [PDF]

, 2000
Despite its simplicity, the naive Bayes learning scheme performs well on most classification tasks, and is often significantly more accurate than more sophisticated methods.
Trigg, Leonard E., Holmes, Geoffrey, Witten, Ian H., Frank, Eibe   +3 more
core   +1 more source

Locally Weighted Naive Bayes

CoRR, 2012
Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Eibe Frank, Mark A. Hall, Bernhard Pfahringer   +2 more
openaire   +3 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source