Interpreting Finite Automata for Sequential Data

Article (Scientific journals)

Hammerschmidt, Christian; Verwer, S.; Lin, Q. et al.

2016 • In Interpretable Machine Learning for Complex Systems: NIPS 2016 workshop proceedings

Peer reviewed

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https://hdl.handle.net/10993/29386

1611.07100v2.pdf

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Keywords :

Statistics - Machine Learning; Computer Science - Artificial Intelligence; I.2.6

Disciplines :

Computer science

Author, co-author :

Hammerschmidt, Christian ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Verwer, S.

Lin, Q.

State, Radu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

External co-authors :

Language :

English

Title :

Interpreting Finite Automata for Sequential Data

Publication date :

December 2016

Journal title :

Interpretable Machine Learning for Complex Systems: NIPS 2016 workshop proceedings

Peer reviewed :

Peer reviewed

FnR Project :

FNR10053360 - Stream Mining For Predictive Authentication Under Adversarial Influence, 2015 (01/03/2015-14/11/2017) - Christian Hammerschmidt

Available on ORBilu :

since 15 January 2017

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