Unsupervised Control Paradigm for Performance Evaluation

Evaluating unsupervised learning for natural language processing tasks

The development of unsupervised learning methods for natural language processing tasks has become an important and popular area of research. The primary advantage of these methods is that they do not require annotated data to learn a model. However, this advantage makes them difficult to evaluate against a manually labeled gold standard. Using unsupervised part-of-speech tagging as our case stu...

Unsupervised learning of linguistic structure An empirical evaluation

Computational Linguistics and Natural Language have long been targets for Machine Learning, and a variety of learning paradigms and techniques have been employed with varying degrees of success. In this paper, we review approaches which have adopted an unsupervised learning paradigm, explore the assumptions which underlie the techniques used and develop an approach to empirical evaluation. We c...

A new clustering evaluation function using Renyi's information potential

Clustering is an important unsupervised learning paradigm, but so far the traditional methodologies are mostly based on the minimization of the variance between the data and the cluster means. Here we propose a new evaluation function based on a recently developed information theoretic measure defined from Renyi’s entropy. We show how to apply Renyi’s entropy to clustering and analyze the resul...

Evaluation of Iranian electronic products manufacturing industries using an unsupervised model, ARAS, SAW, and DEA models

Case study: Data Mining of Associate Degree Accepted Candidates by Modular Method

Since about 10 years ago, University of Applied Science and Technology (UAST) in Iran has admitted students in discontinuous associate degree by modular method, so that almost 100,000 students are accepted every year. Although the first aim of holding such courses was to improve scientific and skill level of employees, over time a considerable group of unemployed people have been interested to ...