Reflective Random Indexing Algorithm
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A Reflective Random Indexing Algorithm is a dimensionality compression algorithm that ...
References
2014
- https://code.google.com/p/semanticvectors/
- QUOTE: ... The models are created by applying concept mapping algorithms to term-document matrices created using Apache Lucene. The concept mapping algorithms supported by the package include Random Projection, Latent Semantic Analysis (LSA) and Reflective Random Indexing. ...
- https://code.google.com/p/semanticvectors/wiki/ReflectiveRandomIndexing
- Reflective Random Indexing (RRI) is the name given to the process of training a semantic model in several phases, starting with RandomProjection and then using several TrainingCycles.
See Reflective Random Indexing and indirect inference: a scalable method for discovery of implicit connections. RRI has been used to infer accurate connections between concepts that do not occur together explicitly in text - like LSA, but at a much smaller computational cost.
- Reflective Random Indexing (RRI) is the name given to the process of training a semantic model in several phases, starting with RandomProjection and then using several TrainingCycles.
2010
- (Cohen & al, 2010) => Trevor Cohen, Roger Schvaneveldt, and Dominic Widdows. (2010). "Reflective Random Indexing and indirect inference: A scalable method for discovery of implicit connections." Journal of Biomedical Informatics, 43(2).