Titlebook: Inductive Logic Programming; 13th International C Tamás Horváth,Akihiro Yamamoto Conference proceedings 2003 Springer-Verlag Berlin Heidelb

橢圓

STELL

Disjunctive Learning with a Soft-Clustering Methodr examples described in first order logic. The main particularity of our clustering method is to build “soft clusters”, i.e. allowing some objects to belong to different groups. Once clusters have been built, we learn first-order rules defining the clusters, using a general-to-specific method: each

acrobat

Delectable

insidious

Induction of Enzyme Classes from Biological Databasesomation within Functional Genomics, which aims at predicting the function of unassigned enzymes from the genome projects. However, neither GO nor EC can be directly used for this purpose since the classes have only a natural language description. In this paper we make an initial attempt at machine l

善變

inspired

978-3-540-20144-1Springer-Verlag Berlin Heidelberg 2003

共同給與

Inductive Logic Programming978-3-540-39917-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

使人入神

Proclaim

https://doi.org/10.1007/b13700algorithm; algorithms; classifier systems; clustering; complexity; computational learning; data structure;