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Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires
Research article (Bioinformatics, 2016) · cited 86× · AI/ML
Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires
Summary
Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires is a scholarly article[1].
Key Facts
Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-using-a-one-dimensional-naive-bayes-classifier-increases-the-accuracy-of-support-vector-machine-classi
MLA“Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-using-a-one-dimensional-naive-bayes-classifier-increases-the-accuracy-of-support-vector-machine-classi.
BibTeX@misc{4ortxyz_feature-selection-using-a-one-dimensional-naive-bayes-classifier-increases-the-accuracy-of-support-vector-machine-classi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-using-a-one-dimensional-naive-bayes-classifier-increases-the-accuracy-of-support-vector-machine-classi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires — https://4ort.xyz/entity/feature-selection-using-a-one-dimensional-naive-bayes-classifier-increases-the-accuracy-of-support-vector-machine-classi (retrieved 2026-05-24)
