NDLI: Transfer learning based on graph ranking

Content Provider	IEEE Xplore Digital Library
Author	Jiana Meng Hongfei Lin
Copyright Year	2012
Description	Author affiliation: School of Computer Science and Technology, Dalian University of Technology, China (Jiana Meng; Hongfei Lin)
Abstract	A fundamental assumption in machine learning is that the data distributions of the training and the test sets should be identical. When the assumption does not hold, the traditional machine learning algorithms might perform worse. In this paper, we tackle this transfer learning problem by implementing a general graph ranking framework for a sentiment classification task. We construct a fusion graph model by using the in-domain and the out-of-domain data. The in-domain data can help us to get pseudo labels of the out-of-domain data. The out-of-domain data can help us to update the labels and can get the convincing prediction labels. Experimental results show the significant improvements in accuracy and demonstrate the effectiveness of this algorithm.
Starting Page	1353
Ending Page	1357
File Size	379463
Page Count	5
File Format	PDF
ISBN	9781467300254
e-ISBN	9781467300247
DOI	10.1109/FSKD.2012.6233765
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Transfer learning Machine learning Sentiment classification Prediction algorithms Educational institutions Vectors Classification algorithms Graph ranking
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

Determining the impact of demographic features in predicting student success in Croatia

Text Message Authorship Classification Using Kernel Support Vector Machines

Sentence-Based Plot Classification for Online Review Comments

Sentiment Analysis for Polish Using Transfer Learning Approach

A Multi-class Classification Algorithm based on Ordinal Regression Machine

Sentiment Classification for Chinese Reviews Using Machine Learning Methods Based on String Kernel

An Internet Traffic Classification Method Based on Semi-Supervised Support Vector Machine

An Incremental Learning Algorithm Based on Support Vector Domain Classifier

Support vector machine radar emitter identification algorithm based on AP clustering

Transfer learning based on graph ranking

Similar Documents

Determining the impact of demographic features in predicting student success in Croatia

Text Message Authorship Classification Using Kernel Support Vector Machines

Sentence-Based Plot Classification for Online Review Comments

Sentiment Analysis for Polish Using Transfer Learning Approach

A Multi-class Classification Algorithm based on Ordinal Regression Machine

Sentiment Classification for Chinese Reviews Using Machine Learning Methods Based on String Kernel

An Internet Traffic Classification Method Based on Semi-Supervised Support Vector Machine

An Incremental Learning Algorithm Based on Support Vector Domain Classifier

Support vector machine radar emitter identification algorithm based on AP clustering

Transfer learning based on graph ranking