Results 11 to 20 of about 123,621 (240)
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
core +1 more source
Learning sentiment from students’ feedback for real-time interventions in classrooms [PDF]
, 2014 Knowledge about users sentiments can be used for a variety of adaptation purposes. In the case of teaching, knowledge about students sentiments can be used to address problems like confusion and boredom which affect students engagement. For this purpose,
Altrabsheh, Nabeela +2 more
core +2 more sources
Fast and accurate sentiment classification using an enhanced Naive Bayes model
, 2013 We have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis. We observed that a combination of methods like negation handling, word n-grams and feature selection by mutual information results in a ...
Arora, Ishan +2 more
core +1 more source
A Decision tree-based attribute weighting filter for naive Bayes [PDF]
, 2006 The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
core +1 more source
Molecular Oncology, EarlyView.In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern +7 more
wiley +1 more source
Nonnegative approximations of nonnegative tensors [PDF]
, 2009 We study the decomposition of a nonnegative tensor into a minimal sum of outer product of nonnegative vectors and the associated parsimonious naive Bayes probabilistic model.
Comon, Pierre, Lim, Lek-Heng
core +6 more sources
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Molecular Oncology, EarlyView.Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features [PDF]
, 2016 The Tree Augmented Naive Bayes classifier is a type of probabilistic graphical model that can represent some feature dependencies. In this work, we propose a Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes (HRE-TAN) algorithm, which ...
Freitas, Alex A., Wan, Cen
core +2 more sources
On the use of Bayesian network classifiers to classify patients with peptic ulcer among upper gastrointestinal bleeding patients [PDF]
, 2012 A Bayesian network classifier is one type of graphical probabilistic models that is capable of representing relationship between variables in a given domain under study.
Adam, Mohd Bakri, Nazziwa Aisha,
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Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source