منابع مشابه
Statistical Modelling Multiple Membership Multiple Classification (mmmc) Models Multiple Membership Multiple Classification (mmmc) Models 2.2 Classification Diagrams Multiple Membership Multiple Classification Models 105 2.3 Multilevel/hierarchical Models
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a nested structure. First, there are cross-classified models wher...
متن کاملMultiple membership multiple classification (MMMC) models
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a nested structure. First, there are cross-classified models wher...
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Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statistics in the fuzzy SVM, more emphasis on reducing the im...
متن کاملBayesian Mixed Membership Models for Soft Classification
The paper describes and applies a fully Bayesian approach to soft classification using mixed membership models. Our model structure has assumptions on four levels: population, subject, latent variable, and sampling scheme. Population level assumptions describe the general structure of the population that is common to all subjects. Subject level assumptions specify the distribution of observable...
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Classification is an important topic in data mining research. It is concerned with the prediction of the values of some attribute in a database based on other attributes. To tackle this problem, most of the existing data mining algorithms adopt either a decision tree based approach or an approach that requires users to provide some userspecified thresholds to guide the search for interesting ru...
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ژورنال
عنوان ژورنال: Journal of Dairy Science
سال: 1963
ISSN: 0022-0302
DOI: 10.3168/jds.s0022-0302(63)89306-6