NDLI: MultiLearner Based Recursive Supervised Training

Content Provider	IEEE Xplore Digital Library
Author	Ramanathan, K. Sheng Uei Guan Iyer, L.R.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., National Univ. of Singapore (Ramanathan, K.; Sheng Uei Guan; Iyer, L.R.)
Abstract	In supervised learning, most single solution neural networks such as constructive backpropagation give good results when used with some datasets but not with others. Others such as probabilistic neural networks (PNN) fit a curve to perfection but need to be manually tuned in the case of noisy data. Recursive percentage based hybrid pattern training (RPHP) overcomes this problem by recursively training subsets of the data, thereby using several neural networks. MultiLearner based recursive training (MLRT) is an extension of this approach, where a combination of existing and new learners are used and subsets are trained using the weak learner which is best suited for this subset. We observed that empirically, MLRT performs considerably well as compared to RPHP and other systems on benchmark data with 11% improvement in accuracy on the spam dataset and comparable performances on the vowel and the two-spiral problems
Sponsorship	IEEE Singapore Sect. IEEE Singapore SMC Chap. IEEE Singapore RA Chap
Starting Page	1
Ending Page	5
File Size	204762
Page Count	5
File Format	PDF
ISBN	1424400236
DOI	10.1109/ICCIS.2006.252267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-07
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Backpropagation algorithms Supervised learning Neurons Clustering algorithms Genetics Testing Interpolation Machine learning Unsupervised learning Backpropagation Neural Networks Supervised Learning Recursive Percentage Based Hybrid Pattern Training (RPHP) Probabilistic Neural Networks (PNN)
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray 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

Recursive percentage based hybrid pattern (RPHP) training for curve fitting

A mapping neural network using unsupervised and supervised training

A novel hybrid learning scheme for pattern recognition

On the training of recurrent neural networks

Fast optimization of PNN based on center neighbor and KLT

Recursive percentage based hybrid pattern (RPHP) Training for curve fitting (2004)

A Supervised Constructive Neuro-Immune Network for Pattern Classification

Unsupervised learning of sigmoid perceptron

A hybrid neural network learning system

MultiLearner Based Recursive Supervised Training

Similar Documents

Recursive percentage based hybrid pattern (RPHP) training for curve fitting

A mapping neural network using unsupervised and supervised training

A novel hybrid learning scheme for pattern recognition

On the training of recurrent neural networks

Fast optimization of PNN based on center neighbor and KLT

Recursive percentage based hybrid pattern (RPHP) Training for curve fitting (2004)

A Supervised Constructive Neuro-Immune Network for Pattern Classification

Unsupervised learning of sigmoid perceptron

A hybrid neural network learning system

MultiLearner Based Recursive Supervised Training