Bayes Class and Wald Class

Class-Level Bayes Nets for Relational Data

Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning has developed a number of new statistical models for such data. Most of these models aim to support instance-level predictions about the attributes or links of specific entities. In this paper we focus on learning class-l...

Improving Naive Bayes Using Class-Conditional ICA

class v cavity preparation & restoration

چکیده ندارد.

Feature Selection for Unbalanced Class Distribution and Naive Bayes

This paper describes an approach to feature subset selection that takes into account problem speciics and learning algorithm characteristics. It is developed for the Naive Bayesian classiier applied on text data, since it combines well with the addressed learning problems. We focus on domains with many features that also have a highly unbalanced class distribution and asymmetric misclassii-cati...

Power and Sample Size Computation for Wald Tests in Latent Class Models

Latent class (LC) analysis is used by social, behavioral, and medical science researchers among others as a tool for clustering (or unsupervised classification) with categorical response variables, for analyzing the agreement between multiple raters, for evaluating the sensitivity and specificity of diagnostic tests in the absence of a gold standard, and for modeling heterogeneity in developmen...