Supervised learning of term similarities

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2412, Issue , 2001, Pages 429-434

  Spasić, Irena ^a   Nenadić, Goran ^a   Manios, Kostas ^a   Ananiadou, Sophia ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; MOLECULAR BIOLOGY; SUPERVISED LEARNING;

AUTOMATIC DISCOVERY; AUTOMATIC EXTRACTION; DOMAIN-SPECIFIC ONTOLOGIES; FUNCTIONAL SIMILARITY; GENETIC ALGORITHM APPROACH; LINEAR COMBINATIONS; SIGNIFICANT PATTERNS; SIMILARITY MEASURE;

MACHINE LEARNING;

EID: 84947967919     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45675-9_64     Document Type: Conference Paper

References (7)

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3. Maynard, D., Ananiadou, S.: Identifying Terms by Their Family and Friends. Proceedings of Coling 2000, Luxembourg (2000) 530-536
4. Medline: National Library of Medicine. www.ncbi.nlm.nih.gov/PubMed/ (2002)
5. Mima, H., Ananiadou, S., Nenadić, G.: Atract Workbench: An Automatic Term Recognition and Clustering of Terms. In: Matoušek, V. et al. (eds.): Text, Speech and Dialogue – Tsd 2001. LNAI 2166. Springer Verlag (2001) 126-133
6. Reeves, C.: Modern Heuristic Techniques. In: Rayward-Smith, V. et. al (eds.) Modern Heuristic Search Methods. John Wiley & Sons Ltd., New York (1996) 1-25
7. Santini, S., Jain, R.: Similarity Measures. IEEE Transactions on Pattern Analysis and Machine Intelligence 21/9 (1999) 871-883