Zobrazeno 1 - 10
of 787
pro vyhledávání: '"Lal, G."'
Autor:
Lal, S.1 shivcith@gmail.com, Lal, G.2, Meena, N. K.1, Jangir, C. K.1, Choudhary, M. K.1, Chaudhary, N.1, Meena, R. D.1, Meena, S. S.1, Meena, M. D.1, Aishwath, O. P.1
Publikováno v:
Legume Research: An International Journal. Sep2024, Vol. 47 Issue 9, p1486-1496. 11p.
Autor:
Lal, G Roshan, Mithal, Varun
We present an algorithm, NN2Rules, to convert a trained neural network into a rule list. Rule lists are more interpretable since they align better with the way humans make decisions. NN2Rules is a decompositional approach to rule extraction, i.e., it
Externí odkaz:
http://arxiv.org/abs/2207.12271
Tree Ensemble (TE) models, such as Gradient Boosted Trees, often achieve optimal performance on tabular datasets, yet their lack of transparency poses challenges for comprehending their decision logic. This paper introduces TE2Rules (Tree Ensemble to
Externí odkaz:
http://arxiv.org/abs/2206.14359
Decision making in crucial applications such as lending, hiring, and college admissions has witnessed increasing use of algorithmic models and techniques as a result of a confluence of factors such as ubiquitous connectivity, ability to collect, aggr
Externí odkaz:
http://arxiv.org/abs/2007.15270
Autor:
Sugin Lal, G.1 (AUTHOR) g.suginlal@gmail.com, Porkodi, R.1 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. Feb2024, p1-17. 17p.
We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete motion capture data. It exploits temporal coherence and joint correlations to infer adaptive filters for each joint in each frame. A single model can be trained t
Externí odkaz:
http://arxiv.org/abs/1712.03380
Publikováno v:
ImmunoTargets and Therapy, Vol Volume 10, Pp 387-407 (2021)
Surojit Karmakar, Pradipta Pal, Girdhari Lal National Centre for Cell Science (NCCS), Pune, MH, 411007, IndiaCorrespondence: Girdhari LalNational Centre for Cell Science (NCCS), NCCS Complex, Ganeshkhind, Pune, MH, 411007, IndiaTel +91-20-2570-8292Fa
Externí odkaz:
https://doaj.org/article/452cd2a5615a4c91b71553c805bc3d16
Akademický článek
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Autor:
Visula Abeysuriya, Nirmala A. I. Wijesinha, Prakash P. Priyadharshan, Lal G. Chandrasena, Ananda Rajitha Wickremasinghe
Publikováno v:
PLoS ONE, Vol 17, Iss 8 (2022)
Background Segment-specific variations of carotid intima-media thickness (CIMT) have not been assessed in South Asian populations. The purpose of this study was to determine if segment-specific CIMTs or a composite-CIMT score is a better risk predict
Externí odkaz:
https://doaj.org/article/a1614cb8981641bcaad51b9b74a27483