Amanote Research

Amanote Research

    RegisterSign In

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-Supervised Learning

doi 10.1109/icmla.2012.75
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2012

Authors
Christopher T. SymonsRanga Raju VatsavaiGoo JunItamar Arel
Publisher

IEEE


Related search

Graph-Based Semi-Supervised Learning for Relational Networks

2017English

Confidence Estimation for Graph-Based Semi-Supervised Learning

Journal of Software
2012English

Graph-Based Semi-Supervised Learning for Indoor Localization Using Crowdsourced Data

2017English

Graph Based Multi-Class Semi-Supervised Learning Using Gaussian Process

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Graph Based Semi-Supervised Learning With Sharper Edges

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Robust Identification of Molecular Phenotypes Using Semi-Supervised Learning

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Influence of Graph Construction on Semi-Supervised Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Automatic Bias Correction Methods in Semi-Supervised Learning

Contemporary Mathematics
Mathematics
2007English

Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms

Applied and Computational Harmonic Analysis
Applied Mathematics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy