Constructing Interpretable Classifiers to Diagnose Gastric Cancer Based on Breath Tests

constructing gender identity through narratives based on hallidays metafunctions

هویت, شکل دادن و بازنمایی آن در گفتمان, توجه بسیاری از محققان این رشته را به خود جلب کرده است. تحقیق حاضر بر شکل دادن به هویت جنسیتی هشت تن از دانشجویان ایرانی مشغول به تحصیل در دوره کارشناسی ارشد از طریق بررسی روایات آنان از تجربیات شخصی, متمرکز شده است. تحلیل داده ها در این تحقیق مشتمل بر سه بخش است: بخش اول شامل کدگذاری موضوعی روایات است که بر اساس آن هویت جنسیتی شرکت کنندگان در تحقیق بر اسا...

Constructing Interpretable Fuzzy Model Based on Reduction Methodology

A systematic approach for constructing interpretable fuzzy model based on reduction methodology is proposed. Fuzzy clustering algorithm, combined with least square method, is used to identify initial fuzzy model with overestimated rule number. Orthogonal least square algorithm and similar fuzzy sets merging are then applied to remove redundancy of the fuzzy model. In order to obtain high accura...

Ants Constructing Rule-Based Classifiers

This chapter introduces a new algorithm for classification, named AntMiner+, based on an artificial ant system with inherent self-organizing capabilities. The usage of ant systems generates scalable data mining solutions that are easily distributed and robust to failure. The introduced approach differs from the previously proposed AntMiner classification technique in three aspects. Firstly, Ant...

Interpretable classifiers of high-throughput cancer data using biological knowledge

BIOINFORMATICS Small, Fuzzy and Interpretable Gene Expression Based Classifiers

Motivation: Interpretation of classification models derived from gene expression data is usually not simple, yet it is an important aspect in the analytical process. We investigate the performance of small rule-based classifiers based on fuzzy logic in five data sets that are different in size, laboratory origin, and biomedical domain. Results: The classifiers resulted in rules that can be read...