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Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings
Research article (Journal of Neural Engineering, 2018) · cited 48× · AI/ML
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings
Summary
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings is a scholarly article[1].
Key Facts
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-logistic-regression-support-vector-machines-and-deep-learning-classifiers-for-predicting-memory-encoding-s
MLA“Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-logistic-regression-support-vector-machines-and-deep-learning-classifiers-for-predicting-memory-encoding-s.
BibTeX@misc{4ortxyz_comparison-of-logistic-regression-support-vector-machines-and-deep-learning-classifiers-for-predicting-memory-encoding-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-logistic-regression-support-vector-machines-and-deep-learning-classifiers-for-predicting-memory-encoding-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings — https://4ort.xyz/entity/comparison-of-logistic-regression-support-vector-machines-and-deep-learning-classifiers-for-predicting-memory-encoding-s (retrieved 2026-05-24)
