نتایج جستجو برای: combination of rules
تعداد نتایج: 21182093 فیلتر نتایج به سال:
Background and Objective: The COVID-19 pandemic is a phenomenon that has infected and killed many people worldwide. Underlying diseases such as diabetes mellitus, heart failure, and chronic kidney disease (CKD) can affect the severity of COVID-19 and aggravate patients' condition. This study aimed to predict the severity of the COVID-19 disease in CKD patients by combining feature selection and...
Foregrounding is one of the contemporary literary theories, which from a literary perspective to texts, in prose or verse, endeavors to explain and analyze those effective features and elements in the body of the discourse which rhetorically distinguish literary texts from ordinary ones. According to the Formalists, foregrounding is achieved through diminishing or increasing the rules. In other...
Abstract Text recognition has been one of the growing research topics in recent years. Many of these researches have focused on recognition of letters and sub-words as a basis for identifying larger text structures such as words, phrases and sentences. This thesis presents a new method in which the recognized sub-words are combined in order to provide meaningful words and sentences in Farsi tex...
Introduction: Optimal child development necessitates proper nutrition in childhood. Despite of improvements in child nutrition, there are still lots of challenges in proper child nutrition which shows the necessity of using the Past experiences more than ever. Despite of particular interest of Iranians to cardinal humors (temperaments), unfortunately, families and medical staffs are not appropr...
Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...
When combining outputs from multiple classifiers, many combination rules are available. Although easy to implement, fixed combination rules are optimal only in restrictive conditions. We discuss and evaluate their performance when the optimality conditions are not fulfilled. Fixed combination rules are then compared with trainable combination rules on real data in the context of face-based iden...
The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...
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