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Online learning algorithms often have to operate in the presence of concept drift (i.e., the concepts to be learned can change with time). This paper presents a new categorization for concept drift, separating drifts according to different criteria into mutually exclusive and nonheterogeneous categories. Moreover, although ensembles of learning machines(More)
Salmonella thin aggregative fimbriae (Tafi; curli) are important in pathogenesis and biofilm formation; however, less is known of their structure and morphogenesis. In the Salmonella agfBAC Tafi operon, the transcription and role of agfC have been elusive. In this study, agfBAC transcripts were detected using a sensitive reverse transcriptase technique.(More)
A brief overview of the history of the development of decision tree induction algorithms is followed by a review of techniques for dealing with missing attribute values in the operation of these methods. The technique of dynamic path generation is described in the context of tree-based classiication methods. The waste of data which can result from casewise(More)
A database on 2692 dyspeptic patients over the age of 40 was established, consisting of 73 epidemiological and clinical variables. A tree-based machine learning algorithm (PREDICTOR) was applied to this database, in order to attempt to find rules which would classify patients into 2 groups, i.e., those suffering from gastric or oesophageal cancer, and the(More)
The agfBAC operon of Salmonella enteritidis encodes thin aggregative fimbriae, fibrous, polymeric structures primarily composed of AgfA fimbrins. Although uncharacterized, AgfB shows a 51 % overall amino acid sequence similarity to AgfA. Using AgfB epitope-specific antiserum, AgfB was detected as a minor component of whole, purified fimbriae. Like AgfA,(More)
An alternative approach to uncertain inference in expert systems is described which might be regarded as a synthesis of techniques from automatic induction and mathematical statistics. It utilises a type of pattern matching in which comparisons are made between new cases (as yet unclassified) and a database of past cases (in which the outcome is known). The(More)