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Learning to rank with only positive examples
Mingzhu Zhu
, Wei Xiong
,
Yi Fang Brook Wu
Informatics
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
Overview
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Dive into the research topics of 'Learning to rank with only positive examples'. Together they form a unique fingerprint.
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Keyphrases
Learning Algorithm
100%
Two-state
100%
Search Space
100%
Learning to Rank
100%
Relevant Documents
100%
Positive-unlabeled Learning
100%
Search by multiple Examples
100%
Transductive
100%
Rocchio Classifier
100%
Positive Instances
100%
Ensemble Learning
100%
PU Learning
100%
Learning-based
50%
Learning Methods
50%
Benchmark Dataset
50%
Search Paradigms
50%
Document Ranking
50%
Space Reduction
50%
Learning-based Framework
50%
Computer Science
Learning Algorithm
100%
Ensemble Learning
100%
Searching Space
100%
Positive Example
100%