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Sequential Classification Via Fuzzy Relations
2006In this paper there are developed and evaluated methods for performing sequential classification (SC) using fuzzy relations defined on product of class set and fuzzified feature space. First on the base of learning set, fuzzy relation in the proposed method is determined as a solution of appropriate optimization problem. Next, this relation in the form
Marek Kurzynski, Andrzej Zolnierek
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Pattern Classification via Single Spheres
2005Previous sphere-based classification algorithms usually need a number of spheres in order to achieve good classification performance. In this paper, inspired by the support vector machines for classification and the support vector data description method, we present a new method for constructing single spheres that separate data with the maximum ...
Jigang Wang +2 more
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Relation Classification via BiLSTM-CNN
2018In sentence-level relation classification field, both recurrent neural networks (RNN) and conventional neural networks (CNN) have won tremendous success. These methods do not rely on NLP systems like named entity recognizers (NER). However either CNN or RNN has its advantages and disadvantages for relation classification.
Lei Zhang 0049, Fusheng Xiang
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Soft Tissue Sarcomas: Classification and Natural History
Ca-A Cancer Journal for Clinicians, 1981Steven I Hajdu, S I Hajdu
exaly
Classification and Staging of Renal Cell Carcinoma
Ca-A Cancer Journal for Clinicians, 1985George R Prout
exaly
The Incidence, Clinical and Pathological Classification of Cancer of the Prostate
Ca-A Cancer Journal for Clinicians, 1965Harry Grabstald
exaly
The Pathology of Tumors, Part III: Grading, Staging & Classification
Ca-A Cancer Journal for Clinicians, 1979Juan Rosai, L V Ackerman, J Rosai
exaly
Benign Soft Tissue Tumors: Classification and Natural History
Ca-A Cancer Journal for Clinicians, 1987Steven I Hajdu, S I Hajdu
exaly