Searching for Nearest Strings with Neural-Like String Embedding


Autoria(s): Sokolov, Artem
Data(s)

07/12/2009

07/12/2009

2007

Resumo

We analyze an approach to a similarity preserving coding of symbol sequences based on neural distributed representations and show that it can be viewed as a metric embedding process.

Identificador

1313-0463

http://hdl.handle.net/10525/695

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Sequence Similarity #Edit Distance #Metric Embeddings #Distributed Representations #Neural Networks
Tipo

Article