[HTML][HTML] Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - Journal of Big Data, 2017 - Springer
Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - Journal of Big Data, 2017 - search.proquest.com
Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

[HTML][HTML] Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - Journal of Big …, 2017 - journalofbigdata.springeropen.com
Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

[PDF][PDF] Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - 2017 - cyberleninka.org
Background Many current application domains of machine learning and artificial intelligence
involve knowledge discovery from text, such as sentiment analysis, document ontology and …

Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - Journal of Big Data, 2017 - infona.pl
Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

Improving deep neural network design with new text data representations.

J Prusa, T Khoshgoftaar - Journal of Big Data, 2017 - search.ebscohost.com
Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

[PDF][PDF] Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - 2017 - scholar.archive.org
Background Many current application domains of machine learning and artificial intelligence
involve knowledge discovery from text, such as sentiment analysis, document ontology and …

[PDF][PDF] Improving deep neural network design with new text data representations

JD Prusa, TM Khoshgoftaar - 2017 - journalofbigdata.springeropen.com
Background Many current application domains of machine learning and artificial intelligence
involve knowledge discovery from text, such as sentiment analysis, document ontology and …