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Iterative Privileged Learning

https://doi.org/10.1109/tnnls.2018.2889906
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_29openalex-snapshot
Exploiting Privileged Information from Web Data for Image Categorization
inferredcites →https://doi.org/10.1007/s11263-015-0862-5openalex-snapshot
Exploiting Privileged Information from Web Data for Action and Event Recognition
inferredcites →https://doi.org/10.1016/j.neunet.2009.06.042openalex-snapshot
A new learning paradigm: Learning using privileged information
inferredcites →https://doi.org/10.1016/j.neunet.2014.02.002openalex-snapshot
Learning using privileged information: SVM+ and weighted SVM
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1093/mnras/stt1458openalex-snapshot
Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey
inferredcites →https://doi.org/10.1109/cvpr.2009.5206772openalex-snapshot
Describing objects by their attributes
inferredcites →https://doi.org/10.1109/cvpr.2014.241openalex-snapshot
One millisecond face alignment with an ensemble of regression trees
inferredcites →https://doi.org/10.1109/cvpr.2016.162openalex-snapshot
Structured Regression Gradient Boosting
inferredcites →https://doi.org/10.1109/cvpr.2016.248openalex-snapshot
Fast Algorithms for Linear and Kernel SVM+
inferredcites →https://doi.org/10.1109/iccv.2013.107openalex-snapshot
Learning to Rank Using Privileged Information
inferredcites →https://doi.org/10.1109/sitis.2012.17openalex-snapshot
An RGB-D Database Using Microsoft's Kinect for Windows for Face Detection
inferredcites →https://doi.org/10.1109/tcyb.2015.2416321openalex-snapshot
Relative Attribute SVM+ Learning for Age Estimation
inferredcites →https://doi.org/10.1109/tnnls.2013.2251470openalex-snapshot
Incorporating Privileged Information Through Metric Learning
inferredcites →https://doi.org/10.1109/tnnls.2015.2405574openalex-snapshot
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification
inferredcites →https://doi.org/10.1109/tnnls.2017.2728139openalex-snapshot
Multiview Privileged Support Vector Machines
inferredcites →https://doi.org/10.1109/wi-iat.2012.52openalex-snapshot
Learning Using Privileged Information with L-1 Support Vector Machine
inferredcites →https://doi.org/10.1111/j.1365-2656.2008.01390.xopenalex-snapshot
A working guide to boosted regression trees
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/1273496.1273533openalex-snapshot
Gradient boosting for kernelized output spaces
inferredcites →https://doi.org/10.1162/0899766042321814openalex-snapshot
Canonical Correlation Analysis: An Overview with Application to Learning Methods
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.13140/rg.2.2.22792.62727openalex-snapshot
Morphological classification of galaxies into spirals and non-spirals
inferredcites →https://doi.org/10.1609/aaai.v25i1.7801openalex-snapshot
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
inferredcites →https://doi.org/10.1609/aaai.v30i1.10247openalex-snapshot
Sparse Perceptron Decision Tree for Millions of Dimensions
inferredcites →https://doi.org/10.1609/aaai.v31i1.11120openalex-snapshot
Extreme Gradient Boosting and Behavioral Biometrics
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.24963/ijcai.2017/466openalex-snapshot
Privileged Multi-label Learning
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4191841openalex-extracted
Privileged Information Learning with Weak Labels
inferred← citeshttps://doi.org/10.1007/978-981-96-0579-8_14openalex-snapshot
Two-Stage Trained Stacking Model for Univariate Time Series Forecasting
inferred← citeshttps://doi.org/10.1007/s11547-025-01993-1openalex-snapshot
A comprehensive study on the radiomic score derived from perineural invasion in gastric cancer and its correlation with the overall survival of patients
inferred← citeshttps://doi.org/10.1007/s13042-019-00991-wopenalex-snapshot
An active multi-class classification using privileged information and belief function
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110298openalex-snapshot
Privileged information learning with weak labels
inferred← citeshttps://doi.org/10.1016/j.ins.2022.08.088openalex-snapshot
A novel stochastic configuration network with iterative learning using privileged information and its application
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103506openalex-snapshot
Coarse-grained privileged learning for classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113338openalex-snapshot
Teacher privileged distillation: How to deal with imperfect teachers?
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.013openalex-snapshot
Emission stations location selection based on conditional measurement GAN data
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.025openalex-snapshot
Unimodal regularized neuron stick-breaking for ordinal classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.04.033openalex-snapshot
Joint representation learning with ratings and reviews for recommendation
inferred← citeshttps://doi.org/10.1016/j.procs.2023.08.126openalex-snapshot
Iterative Privileged Learning for Multi-view Classification
inferred← citeshttps://doi.org/10.1109/embc46164.2021.9629990openalex-snapshot
Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers
inferred← citeshttps://doi.org/10.1109/lgrs.2019.2934162openalex-snapshot
Dual-Stage Construction of Probability for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tcds.2022.3203822openalex-snapshot
PAU-Net: Privileged Action Unit Network for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3045307openalex-snapshot
2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31
inferred← citeshttps://doi.org/10.3390/math13040587openalex-snapshot
Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus
inferred← citeshttps://doi.org/10.62347/beao1926openalex-snapshot
Research progress on machine algorithm prediction of liver cancer prognosis after intervention therapy
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