Deviant Learning Algorithm

Version 3.0.0.0 (291 KB) by EN Osegi
An algorithm for learning sparse mismatch representations through time and space
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Updated 12 Jan 2017

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Use this algorithm to perform multi-predictions, predictive classification and anomaly detection in a spatio-temporal way

Cite As

EN Osegi (2025). Deviant Learning Algorithm (https://se.mathworks.com/matlabcentral/fileexchange/59051-deviant-learning-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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DLA APP DEC 2017v1_rev/

Version Published Release Notes
3.0.0.0

Added function for computing Mean Absolute Percentage Error (MAPE), finer code and more datasets etc..
2.0.0.0

Added skip-sequence tuning (K_INCREMENT.m), mixed-integer visualization plot commands
1.0.0.0