Accession Number:



Multi-View Relationships for Analytics and Inference

Descriptive Note:

[Technical Report, Doctoral Thesis]

Corporate Author:

Carnegie Mellon University

Personal Author(s):

Report Date:


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An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques, which may struggle to find these relationships or only learn them implicitly. These relationships are often especially salient in understanding the data or performing prediction.

Subject Categories:

  • Optical Detection and Detectors

Distribution Statement:

[A, Approved For Public Release]