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11 . Conference
Generative Policies for Coalition Systems - A Symbolic Learning Framework
저자
by
Bertino, Elisa
;
Russo, Alessandra
;
Law, Mark
;
Calo, Seraphin
;
Manotas, Irene
, et al.
소스
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) ICDCS Distributed Computing Systems (ICDCS), 2019 IEEE 39th International Conference on. :1590-1600 Jul, 2019
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17 . Report
FF-NSL: Feed-Forward Neural-Symbolic Learner
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by
Cunnington, Daniel
;
Law, Mark
;
Russo, Alessandra
;
Lobo, Jorge
.
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Open Access (Arxiv)
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16 . Report
NSL: Hybrid Interpretable Learning From Noisy Raw Data
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by
Cunnington, Daniel
;
Russo, Alessandra
;
Law, Mark
;
Lobo, Jorge
;
Kaplan, Lance
.
소스
Open Access (Arxiv)
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17 . Conference
Reduce Cognitive Burden on Drivers through Contextualising Environments
저자
by
Cunnington, Daniel
;
de Mel, Geeth
;
Shaw, Darren
.
소스
2018 IEEE 87th Vehicular Technology Conference (VTC Spring) Vehicular Technology Conference (VTC Spring), 2018 IEEE 87th. :1-7 Jun, 2018
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15 . Report
Synthetic Ground Truth Generation for Evaluating Generative Policy Models
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by
Cunnington, Daniel
;
White, Graham
;
de Mel, Geeth
.
소스
Open Access (Arxiv)
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15 . Academic Journal
FFNSL: Feed-Forward Neural-Symbolic Learner.
저자
by
Cunnington, Daniel
;
Law, Mark
;
Lobo, Jorge
;
Russo, Alessandra
.
소스
Machine Learning; Feb2023, Vol. 112 Issue 2, p515-569, 55p
Web of Science
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16 . Conference
Towards a Learning-Algorithm Agnostic Generative Policy Model for Coalitions.
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by
Cunnington, Daniel
;
Law, Mark
;
de Mel, Geeth
;
Manotas, Irene
;
Bertino, Elisa
, et al.
소스
Proceedings of SPIE; 3/10/2019, Vol. 11006, p1-15, 15p
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17 . Periodical
Towards a learning-algorithm agnostic generative policy model for coalitions
저자
by
Pham, Tien
;
Cunnington, Daniel
;
Law, Mark
;
de Mel, Geeth
;
Manotas, Irene
, et al.
소스
Proceedings of SPIE; May 2019, Vol. 11006 Issue: 1 p110060J-110060J-15, 10895956p
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17 . Patent
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by
Cunnington, Daniel
;
Polikov, Yury
;
Weishew, Joseph John
.
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