Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"classifier system"”.
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Classifier System Learning of Good Database Schema
… thesis presents an implementation of a learning classifier system which learns good database schema. The system is implemented in Java using the NetBeans development environment, which provides a good control for the GUI components. The system contains four components: a user interface, a rule …
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Prediction of Social Events Using a Classifier System
… of a technique from artificial intelligence, the classifier system, as a tool for time-series analyses in the social sciences. This technique is intriguing because of its similarity to some processes of evolution and the optimization of living organisms; there is increased interest in such models …
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A Multiple Classifier System for Predicting Best-Selling Amazon Products
… metadata and propose a heterogeneous multiple classifier system for the task of identifying best-selling products in multiple categories. This system of classifiers consumes the product description and the featured product image as input and feeds them through binary classifiers of the …
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A Distributed Q-learning Classifier System for task decomposition in real robot learning problems
A distributed reinforcement-learning system is designed and implemented on a mobile robot for the study of complex task decomposition in real robot learning environments. The Distributed Q-learning Classifier System (DQLCS) is evolved from the standard Learning Classifier System (LCS) proposed by …
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Architecture design and simulation for distributed learning classifier systems
… thesis, we introduce the Distributed Learning Classifier System (DLCS) as a novel extension of J. H. Holland's standard learning classifier system. While the standard LCS offers effective real-time control and learning, one of its limitations is that it does not provide a mechanism for allowing …
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Extracting Feature Vectors From Event-Related fMRI Data to Enable Machine Learning Analysis
… tests on the resulting feature extraction – classifier system. We extend this analysis to spatial temporal models as well as summary models. We find that mixed effects models increase classifier performance at the cost of increased uncertainty in prediction estimates. In addition, these …
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A Hybrid heuristic-exhaustive search approach for rule extraction
… new knowledge discovery algorithm, called Hybrid Classifier System (HCS), is presented. The guiding concept behind the new algorithm was simplicity. The new knowledge discovery algorithm is loosely based on schemata theory. It is evaluated against one of the discussed algorithms from each class, …
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Analysis of electromyograph (EMG) for controlling wheelchair motion
… value. To classify such kind of signal, a classifier able to withstand uncertainties in data is required. So, in this work a fuzzy classifier is designed and implemented using LabVIEW software. The classifier system is tested using 10 subjects. The simulation results have authenticated the …
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Guided Interactive Machine Learning
… two current areas of research: the Crayons image classifier system and active learning. Currently Crayons provides no guidance to the user in what pixels should be labeled or when the task is complete. This work focuses on two main areas: 1) active learning for user guidance, and 2) accuracy …
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Analysis of electrooculography (EOG) for controlling wheelchair motion
… Therefore, to classify such kind of signal, a classifier able to withstand uncertainties in data is required. Fuzzy theory is well known for its capability to deal with imprecise environment. So, in this work a fuzzy classifier is designed and implemented using LabVIEW software. The classifier …
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Automated Cardiac Rhythm Diagnosis for Electrophysiological Studies, an Enhanced Classifier Approach
… Studies suggested artificial intelligence (AI) classifiers are accurate using ECG and intracardiac electrogram features and reviews suggested new features might augment diagnosis. This study aimed to develop an accurate cardiac rhythm diagnostic algorithm for electrophysiological (EP) studies …
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Rule -Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
Rule-based evolutionary online learning systems, often referred to as Michigan-style learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the …
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Spectrum Awareness: Deep Learning and Isolation Forest Approaches for Open-set Identification of Signals
… with commercial users, military operators need systems to identify the signals within a spectrum environment. In this thesis, we extend current research in the area of signal identification by using previous work in the area to construct a deep learning-based classifier that is able to classify …
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Autocatalytic closure and the evolution of cellular information processing networks
… CIPNs from a bottom-up perspective. This system is a novel agent-based Artificial Chemistry (AC) which employs a term rewriting system called the Molecular Classifier System (MCS.bl). The latter is derived from the Holland broadcast language formalism. Our first series of experiments …
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Development of a Machine Learning Based Fall Detection System for the Elderly and Disabled
… effective machine learning-based fall detection system that is portable at a low cost. Hence, this project is aimed at undertaking a research study on the various fall detection and navigation systems designed for the elderly and disabled and developing an effective machine learning-based …
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Classification of tinnitus versus non-tinnitus hearing impaired subject fMRI data
… point over time. Then a linear or non-linear classifier, an algorithm that trains itself by building a probability profile for how likely each feature will be to belong to a cluster group, given a target or control class (in the case of this study, tinnitus or non-tinnitus hearing impaired), …
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Cheatgrass die-off in the Great Basin: A comparison of remote sensing detection methods and identification of environments favorable to die-off
… L.) has greatly damaged the rangeland ecosystems of the Western United States. While mechanical and chemical control of cheatgrass is possible, control is costly and often ineffective in the long-term. An improved understanding of cheatgrass die-off, or stand emergence failure, could lead …
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Harnessing curiosity, interest, and empathy in the college chemistry classroom
… the data collection for training this text classifier is underway. The Kubler-Ross model (1969), which delineated the five stages of grief, and the SPIKES method (1992), which provided step-by-step instructions for recognizing and addressing the emotional states of patients, are two landmark …
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Bicycle and Pedestrian Traffic Monitoring and AADT Estimation in a Small Rural College Town
… but important part of transportation systems. A key need for transportation planners is traffic monitoring programs similar to motorized traffic. Count campaigns can help estimate mode choice, measure infrastructure performance, track changes in volume, prioritize projects, analyze …