Results 71 to 80 of about 1,547,567 (330)
Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification
Complexity, 2018 The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system.
Zeynep H. Kilimci, Selim Akyokus
doaj +1 more source
Papers in Historical Phonology, 2018 Machine learning is a powerful method when working with large data sets such as diachronic corpora. However, as opposed to standard techniques from inferential statistics like regression modeling, machine learning is less commonly used among phonological
Andreas Baumann
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BMC Cancer, 2022 Background The purpose of this study was to investigate and validate multiparametric magnetic resonance imaging (MRI)-based machine learning classifiers for early identification of poor responders after neoadjuvant chemoradiotherapy (nCRT) in patients ...
Jia Wang +4 more
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Quantum ensembles of quantum classifiers
, 2017 Quantum machine learning witnesses an increasing amount of quantum algorithms for data-driven decision making, a problem with potential applications ranging from automated image recognition to medical diagnosis.
Petruccione, Francesco, Schuld, Maria
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Attribute Interactions in Medical Data Analysis [PDF]
, 2003 There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional independence between attributes. In classification, such classifiers sum up the
Bratko, Ivan +4 more
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ARO-The Scientific Journal of Koya University, 2023 Technology has dominated a huge part of human life. Furthermore, technology users use language continuously to express feelings and sentiments about things.
Soran S. Badawi
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Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification [PDF]
, 2015 We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets).
Brahnam, Sheryl +3 more
core +2 more sources
Informatics in Medicine Unlocked, 2020 Recently, coronavirus disease (COVID-19) has caused a serious effect on the healthcare system and the overall global economy. Doctors, researchers, and experts are focusing on alternative ways for the rapid detection of COVID-19, such as the development ...
Prottoy Saha +2 more
semanticscholar +1 more source
AAA+ protein unfoldases—the Moirai of the proteome
FEBS Letters, EarlyView.AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source
Classifying superheavy elements by machine learning [PDF]
Physical Review A, 2019 Among the 118 elements listed in the periodic table, there are nine superheavy elements (Mt, Ds, Mc, Rg, Nh, Fl, Lv, Ts, and Og) that have not yet been well studied experimentally because of their limited half-lives and production rates. How to classify these elements for further study remains an open question.
Gong, Sheng +8 more
openaire +2 more sources