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The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some approaches focused on the learning of edit probabilities required to compute a so-called stochas-tic tree edit distance. However, to reduce the algorithmic and learning constraints,(More)
Five lignans, phillyrin (1), pinoresinol-beta-D-glucoside (2), pinoresinol di-beta-D-glucoside (3), phillyrin-2-O-beta-D-glucoside (6), phillyrin-6-O-beta-D-glucoside (7), and three secoiridoids, oleuropein (4), ligustroside (5) and angustifolioside B (8), have been isolated from the root bark of Chionanthus virginicus L. (Oleaceae), a raw material used in(More)
A c c e p t e d m a n u s c r i p t Abstract Nowadays, there is a growing interest in machine learning and pattern recognition for tree-structured data. Trees actually provide a suitable structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, computer music, or conversion of(More)
An efficient system for the analysis of the total alkaloids extracted from leaves of Mitragyna inermis (Willd.) O. Kuntze (Rubiaceae) by HPLC using a reversed-phase column is described. The chromatographic conditions allowed the separation of indole and oxindole alkaloids in leaf extracts, and the quantification of uncarine D in samples collected in Burkina(More)
Fourteen compounds belonging to different chemical classes were characterized in the roots and fruits extracts from Berberis libanotica, using the same HPLC-DAD-MS method. Thirteen were reported, for the first time, from the fruits whereas the roots contained mostly alkaloids of which 3 out of 5 are reported for the first time. Their structures were(More)
Root barks of Chionanthus virginicus L. are used in homeopathic medicines in the treatment of icterus and hepatitis. The objective of this study is to identify novel secoiridoids and lignans and to develop a simple and reliable HPLC method for the determination of oleuropein, phillyrin, total secoiridoids and total lignans for quality control and stability(More)
Learning the parameters of the edit distance has been increasingly studied during the past few years to improve the assessment of similarities between structured data, such as strings, trees or graphs. Often based on the optimization of the likelihood of pairs of data, the learned models usually take the form of probabilistic state machines, such as(More)
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