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Full-Text Articles in Physical Sciences and Mathematics
Classification And Visualization Of Neural Patterns Using Subspace Analysis Statistical Methods, Jun Xia, Marius Osan, Emilia Titan, Riana Nicolae, Remus Osan
Classification And Visualization Of Neural Patterns Using Subspace Analysis Statistical Methods, Jun Xia, Marius Osan, Emilia Titan, Riana Nicolae, Remus Osan
Neuroscience Institute Faculty Publications
The size and complexity of neural data is increasing at a dramatic pace due to rapid advances in experimental technologies. As a result, the data analysis techniques are shifting their focus from single-units to neural populations. The goal is to investigate complex temporal and spatial patterns, as well as to present the results in an intuitive way, allowing for detection and monitoring of relevant neural patterns.
Integrating Information Theory Measures And A Novel Rule-Set-Reduction Tech-Nique To Improve Fuzzy Decision Tree Induction Algorithms, Nael Mohammed Abu-Halaweh
Integrating Information Theory Measures And A Novel Rule-Set-Reduction Tech-Nique To Improve Fuzzy Decision Tree Induction Algorithms, Nael Mohammed Abu-Halaweh
Computer Science Dissertations
Machine learning approaches have been successfully applied to many classification and prediction problems. One of the most popular machine learning approaches is decision trees. A main advantage of decision trees is the clarity of the decision model they produce. The ID3 algorithm proposed by Quinlan forms the basis for many of the decision trees’ application. Trees produced by ID3 are sensitive to small perturbations in training data. To overcome this problem and to handle data uncertainties and spurious precision in data, fuzzy ID3 integrated fuzzy set theory and ideas from fuzzy logic with ID3. Several fuzzy decision trees algorithms and …
Toward A Heuristic Model For Evaluating The Complexity Of Computer Security Visualization Interface, Hsiu-Chung Wang
Toward A Heuristic Model For Evaluating The Complexity Of Computer Security Visualization Interface, Hsiu-Chung Wang
Computer Science Theses
Computer security visualization has gained much attention in the research community in the past few years. However, the advancement in security visualization research has been hampered by the lack of standardization in visualization design, centralized datasets, and evaluation methods. We propose a new heuristic model for evaluating the complexity of computer security visualizations. This complexity evaluation method is designed to evaluate the efficiency of performing visual search in security visualizations in terms of measuring critical memory capacity load needed to perform such tasks. Our method is based on research in cognitive psychology along with characteristics found in a majority of …