… as classes henceforth. Of course, the GENIA ontology’s hierarchy, the number of classes and
… Hence, we focus on the two elementary operations: merges which is the union of disjoint …

… a set of unstructured text documents as a vector space model… and sparse text data sets
such as CLASSIC3 and NSF into disjoint … indeed “discovers” the class structure underlying the …

… Other processes in FIHC, such as making clusters disjoint and pruning, are … documents of
class i, n j is the number of documents of cluster j, and n ij is the number of documents of class i …

… text processors, for instance, LibreOffice and Microsoft Word, are essentially XML files. So,
working with XML documents might be working with regular text-… into two disjoint subsets: the …

… which are especially designed for text classification. Additionally, our un… disjoint classes
where each class is characterized through a distribution p(y|ck), ck ∈ C . Denoting the class …

… disjoint makes them simpler to process from text and non-… for text/non-text separation for
general offline document … are grouped according to the class of documents they will most likely …

… In our daily life, we come across many handwritten documents in the form of class notes,
handwritten reports and … CCs are basically disjoint segments. To extract CCs from the binarized …

… Using the selection of 4900 documents, 3500 sections, and 1400 abstracts from the arXiv,
we compared the influence of text and formulae on the performance of a subject class [’math’, ’…

… text documents. For experiments, we used the Reuters-21578 text collection, CISI documents
… They are different in terms of document size, cluster size, number of classes, dimension of …

… terms are similar for the two methods while the top scored terms are completely disjoint. …
;IRfi differentiable functions or as equivalence classes of curves having the same velocity vectors …