Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Semisupervised, multilabel, multi-instance learning for structured data
Hossein Soleimani
,
David J. Miller
Electrical Engineering
Research output
:
Contribution to journal
›
Letter
›
peer-review
12
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Semisupervised, multilabel, multi-instance learning for structured data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Multiple Instance Learning
100%
Learning Methods
50%
Binary Classification
16%
Classification Methods
16%
Large Set
16%
Identically Distributed
16%
Text Document
16%
Inference Methods
16%
Variational Bayes
16%
Massive Datasets
16%
Classification Task
16%
Markov Chain Monte Carlo Methods
16%
Document-level
16%
Multi-label Classification
16%
Low-dimensional Space
16%
Multiple Classes
16%
Instance-level
16%
Image Level
16%
Efficient Inference
16%
Label Prediction
16%
Computer Science
Lower Dimensional Space
16%
Application Instance
16%