NDLI: Proteus: A scalable, flexible and extensible multi-classifier framework

Content Provider	IEEE Xplore Digital Library
Author	Winiarski, D. Coady, Y.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Victoria, Victoria, BC, Canada (Winiarski, D.; Coady, Y.)
Abstract	Though the popularity and demand for machine learning infrastructures is soaring in this age of “big data”, general purpose configuration and deployment strategies are still in their infancy. This paper presents Proteus, a flexible and extensible framework allowing different machine learning algorithms to be introduced in a plug-and-play manner in order to be evaluated. Proteus enables domain experts to more easily compare, contrast, and even combine results from classifiers including Deep Learning, GLM, GBM, Naive Bayes, Random Forest, SVM and Linear Regression. Leveraging this design, it is easier to explore the possibility that a combination of multiple classifiers may be the best approach to guaranteeing high accuracy. A case study involving 6 months of mouse-movement data from 5 patients with a Clinical Dementia Rating (CDR) of 0 (control group) and 5 patients with a CDR of 0.5 (considered a high impairment level) identifies the costs and benefits of this engineering effort towards a scalable, flexible and extensible architecture for multi-classifier analysis.
Starting Page	501
Ending Page	506
File Size	518118
Page Count	6
File Format	PDF
ISSN	21545952
e-ISBN	9781467377881
DOI	10.1109/PACRIM.2015.7334888
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pipelines Algorithm design and analysis Sparks Sensors Computer architecture Libraries Data analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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