Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sayan Putatunda"'
Autor:
Sayan Putatunda, Arnab Kumar Laha
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 381-401 (2023)
Abstract The analysis of data streams offers a great opportunity for development of new methodologies and applications in the area of Intelligent Transportation Systems. In this paper, we propose two new incremental learning approaches for the travel
Externí odkaz:
https://doaj.org/article/18df59133ee64d2f86107aab889f4cd2
Autor:
Sayan Putatunda
Publikováno v:
Neural Computing and Applications. 32:17669-17680
Accurate classification of self-care problems in children who suffer from physical and motor affliction is an important problem in the healthcare industry. This is a difficult and a time-consuming process, and it needs the expertise of occupational t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce88e9eaa5f3de7828a63875707ee8ed
https://doi.org/10.1007/s00521-020-04943-2
https://doi.org/10.1007/s00521-020-04943-2
Autor:
Sayan Putatunda
Publikováno v:
Practical Machine Learning for Streaming Data with Python ISBN: 9781484268667
In the last chapter, you learned some concept drift detection algorithms. This chapter focuses on supervised learning algorithms (for classification tasks and regression tasks) in a streaming data context. In supervised learning, there is a target or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fceb84446386a970ac1e1f0ecdabfc3
https://doi.org/10.1007/978-1-4842-6867-4_3
https://doi.org/10.1007/978-1-4842-6867-4_3
Autor:
Sayan Putatunda
Publikováno v:
Practical Machine Learning for Streaming Data with Python ISBN: 9781484268667
In Chapter 3, you learned supervised machine learning techniques for both regression and classification problems in a streaming data context. This chapter starts with unsupervised learning for streaming data and then overviews some of the other softw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d081b2312410467477fcea7ddc73e666
https://doi.org/10.1007/978-1-4842-6867-4_4
https://doi.org/10.1007/978-1-4842-6867-4_4
Autor:
Sayan Putatunda
Publikováno v:
Practical Machine Learning for Streaming Data with Python ISBN: 9781484268667
In the last chapter, you were introduced to streaming data, its applications, windowing techniques, and incremental and online learning algorithms. You were also introduced to the scikit-multiflow framework in Python and the various streaming data ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7341813539853bed2621ba755ab72625
https://doi.org/10.1007/978-1-4842-6867-4_2
https://doi.org/10.1007/978-1-4842-6867-4_2
Autor:
Sayan Putatunda
Publikováno v:
Practical Machine Learning for Streaming Data with Python ISBN: 9781484268667
This chapter introduces you to streaming data, its various challenges, some of its real-world business applications, various windowing techniques, and the concepts of incremental and online learning algorithms. The chapter also introduces the scikit-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::950d27eef41a97c347ed11d65d296397
https://doi.org/10.1007/978-1-4842-6867-4_1
https://doi.org/10.1007/978-1-4842-6867-4_1
Autor:
Sayan Putatunda
Publikováno v:
2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).
The diagnosis of the Erythemato-squamous disease (ESD) is accepted as a difficult problem in dermatology. ESD is a form of skin disease. It generally causes redness of the skin and also may cause loss of skin. They are generally due to genetic or env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b30a1371a641954d19ba66de67ac5be6
https://doi.org/10.1109/conecct50063.2020.9198447
https://doi.org/10.1109/conecct50063.2020.9198447
Autor:
Sayan Putatunda, Arnab Kumar Laha
Publikováno v:
Transportation Research Part C: Emerging Technologies. 92:298-322
The prediction of the destination location at the time of pickup is an important problem with potential for substantial impact on the efficiency of a GPS-enabled taxi service. While this problem has been explored earlier in the batch data set-up, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::560d97a77a73b4fb8230ad841cabd667
https://doi.org/10.1016/j.trc.2018.05.005
https://doi.org/10.1016/j.trc.2018.05.005
Autor:
Sayan Putatunda
Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for strea
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting
Autor:
Sayan Putatunda, Kiran Rama
Publikováno v:
2019 Fifteenth International Conference on Information Processing (ICINPRO).
It is already reported in the literature that the performance of a machine learning algorithm is greatly impacted by performing proper Hyper-Parameter optimization. One of the ways to perform Hyper-Parameter optimization is by manual search but that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6018442dcbb021a3ee7c3d9e3faf4f95
https://doi.org/10.1109/icinpro47689.2019.9092025
https://doi.org/10.1109/icinpro47689.2019.9092025