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Cybernetics and Information Technologies
Volume 23 (2023): Issue 4 (November 2023)
Open Access
Convex Least Angle Regression Based LASSO Feature Selection and Swish Activation Function Model for Startup Survival Rate
Ramakrishna Allu
Ramakrishna Allu
and
Venkata Nageswara Rao Padmanabhuni
Venkata Nageswara Rao Padmanabhuni
| Nov 30, 2023
Cybernetics and Information Technologies
Volume 23 (2023): Issue 4 (November 2023)
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Published Online:
Nov 30, 2023
Page range:
110 - 127
Received:
Jun 22, 2023
Accepted:
Oct 20, 2023
DOI:
https://doi.org/10.2478/cait-2023-0039
Keywords
Convex Least Angle Regression based Least Absolute Shrinkage and Selection Operator (CLAR-LASSO)
,
Crunch base dataset
,
Startup
,
Survival rate
,
Swish activation function based Long Short Term Memory (LSTM)
© 2023 Ramakrishna Allu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Ramakrishna Allu
Department of Computer Science and Engineering, GITAM (Deemed to be university)
Visakhapatnam, India
Venkata Nageswara Rao Padmanabhuni
Department of Computer Science and Engineering, GITAM (Deemed to be university)
Visakhapatnam, India