Related Experiment Videos
A machine learning approach to weighting schemes in the data fusion of similarity coefficients
Jenny Chen1, John Holliday, John Bradshaw
1Department of Information Studies, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK.
Abstract:
The application of data fusion techniques for combining the results of similarity searches of chemical databases has been shown to improve search performance. When used to combine the results of searches using different similarity coefficients, the optimum combination is dependent on the size, in terms of substructural fragments present, of the molecules being compared. This paper describes preliminary simulation tests which aim to automatically deduce, using machine learning techniques, the optimum combination of similarity coefficient which may be combined using data fusion for a given class of active compounds.
Related Concept Videos
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Causes of Similarity-Dissimilarity Effect
Factors Influencing Attraction III: Similarity
Apparent Weight
Consider a person standing on a bathroom scale inside an elevator. If the scale is accurate at rest, its reading equals the...
Wilcoxon Signed-Ranks Test for Matched Pairs