Searching through the hierarchy: Modeling categorical search using class-consistent features

Identifying Ferdowsi University of Mashhad Graduated Students' Search Strategies during their Information-searching through the Web

Purpose: the aim was to identify users' search strategies and the rate of using search strategies on the web. Method: It is a practical survey. The statistical population included all the postgraduate students in the first semester at Ferdowsi University of Mashhad. 95 students were selected by stratified random sampling method. To gather the data, log files were used. Findings: 12 search strat...

Stock-flow Consistent Modeling through the Ages

Ranking Categorical Features Using Generalization Properties

Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ranking method that supports categorical features with a large number of possible values. We show that existing ranking criteria rank a feature according to the training error of a predictor based on the feature. This app...

8.1 an Algorithm for Searching the Hierarchy

(This report discussed how to estimate the database usefulness used deened in this paper for the high-correlation and disjoint scenarios. Such discussion did not appear in 16].) 26 showed that when it is used in conjunction with any of the three estimation algorithms, the number of databases searched by this algorithm is, on the average, only slightly above the number of databases containing th...

Searching for Features using a Genetic Algorithm

Automatic classification of words use abstract representations of lexical items. The representations are usually not easily derived from the data available (strings of letters). This is a core problem in nearest neighbor methods. This article describes research towards a genetic algorithm for inventing features of relevance for automatic word classification. The GA attempts to optimize a repres...