Current Search:  Theory of computation (x)

View All Items

  • CSV Spreadsheet
(1 - 4 of 4)
Analysis of machine learning algorithms on bioinformatics data of varying quality
Title
Analysis of machine learning algorithms on bioinformatics data of varying quality.
Creator
Shanab, Ahmad Abu, Khoshgoftaar, Taghi M., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
One of the main applications of machine learning in bioinformatics is the construction of classification models which can accurately classify new instances using information gained from previous instances. With the help of machine learning algorithms (such as supervised classification and gene selection) new meaningful knowledge can be extracted from bioinformatics datasets that can help in disease diagnosis and prognosis as well as in prescribing the right treatment for a disease. One...
Show moreOne of the main applications of machine learning in bioinformatics is the construction of classification models which can accurately classify new instances using information gained from previous instances. With the help of machine learning algorithms (such as supervised classification and gene selection) new meaningful knowledge can be extracted from bioinformatics datasets that can help in disease diagnosis and prognosis as well as in prescribing the right treatment for a disease. One particular challenge encountered when analyzing bioinformatics datasets is data noise, which refers to incorrect or missing values in datasets. Noise can be introduced as a result of experimental errors (e.g. faulty microarray chips, insufficient resolution, image corruption, and incorrect laboratory procedures), as well as other errors (errors during data processing, transfer, and/or mining). A special type of data noise called class noise, which occurs when an instance/example is mislabeled. Previous research showed that class noise has a detrimental impact on machine learning algorithms (e.g. worsened classification performance and unstable feature selection). In addition to data noise, gene expression datasets can suffer from the problems of high dimensionality (a very large feature space) and class imbalance (unequal distribution of instances between classes). As a result of these inherent problems, constructing accurate classification models becomes more challenging.
Show less
Date Issued
2015
PURL
http://purl.flvc.org./fau/fd/FA00004425, http://purl.flvc.org/fau/fd/FA00004425
Subject Headings
Artificial intelligence, Bioinformatics, Machine learning, System design, Theory of computation
Format
Document (PDF)
Effect of wind on near-shore breaking waves
Title
Effect of wind on near-shore breaking waves.
Creator
Schaffer, Faydra., College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
The aim of this project is to identify the effect of wind on near-shore breaking waves. A breaking wave was created using a simulated beach slope configuration. Testing was done on two different beach slope configurations. The effect of offshore winds of varying speeds was considered. Waves of various frequencies and heights were considered. A parametric study was carried out. The experiments took place in the Hydrodynamics lab at FAU Boca Raton campus. The experimental data validates the...
Show moreThe aim of this project is to identify the effect of wind on near-shore breaking waves. A breaking wave was created using a simulated beach slope configuration. Testing was done on two different beach slope configurations. The effect of offshore winds of varying speeds was considered. Waves of various frequencies and heights were considered. A parametric study was carried out. The experiments took place in the Hydrodynamics lab at FAU Boca Raton campus. The experimental data validates the knowledge we currently know about breaking waves. Offshore winds effect is known to increase the breaking height of a plunging wave, while also decreasing the breaking water depth, causing the wave to break further inland. Offshore winds cause spilling waves to react more like plunging waves, therefore increasing the height of the spilling wave while consequently decreasing the breaking water depth.
Show less
Date Issued
2010
PURL
http://purl.flvc.org/FAU/2979378
Subject Headings
Wave motion, Theory of, Ocean waves, Climatology, Computational fluid dynamics
Format
Document (PDF)
Machine learning techniques for alleviating inherent difficulties in bioinformatics data
Title
Machine learning techniques for alleviating inherent difficulties in bioinformatics data.
Creator
Dittman, David, Khoshgoftaar, Taghi M., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
In response to the massive amounts of data that make up a large number of bioinformatics datasets, it has become increasingly necessary for researchers to use computers to aid them in their endeavors. With difficulties such as high dimensionality, class imbalance, noisy data, and difficult to learn class boundaries, being present within the data, bioinformatics datasets are a challenge to work with. One potential source of assistance is the domain of data mining and machine learning, a field...
Show moreIn response to the massive amounts of data that make up a large number of bioinformatics datasets, it has become increasingly necessary for researchers to use computers to aid them in their endeavors. With difficulties such as high dimensionality, class imbalance, noisy data, and difficult to learn class boundaries, being present within the data, bioinformatics datasets are a challenge to work with. One potential source of assistance is the domain of data mining and machine learning, a field which focuses on working with these large amounts of data and develops techniques to discover new trends and patterns that are hidden within the data and to increases the capability of researchers and practitioners to work with this data. Within this domain there are techniques designed to eliminate irrelevant or redundant features, balance the membership of the classes, handle errors found in the data, and build predictive models for future data.
Show less
Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004362, http://purl.flvc.org/fau/fd/FA00004362
Subject Headings
Artificial intelligence, Bioinformatics, Machine learning, System design, Theory of computation
Format
Document (PDF)
Effects of problem-based learning with web-anchored instruction in nanotechnology on the science conceptual understanding, the attitude towards science, and the perception of science in society of elementary students
Title
Effects of problem-based learning with web-anchored instruction in nanotechnology on the science conceptual understanding, the attitude towards science, and the perception of science in society of elementary students.
Creator
Yurick, Karla Anne., College of Education, Department of Curriculum, Culture, and Educational Inquiry
Abstract/Description
This study explored the effects of Problem-Based Leaning (PBL) with webanchored instruction in nanotechnology on the science conceptual understanding, the attitude towards science, and the perception of science in society of elementary students. A mixed-methods approach was used. Subjects (N=46) participated in the study for approximately two and a half weeks. A pretest was administered for science conceptual understanding and for attitude towards science. An intervention, web-based...
Show moreThis study explored the effects of Problem-Based Leaning (PBL) with webanchored instruction in nanotechnology on the science conceptual understanding, the attitude towards science, and the perception of science in society of elementary students. A mixed-methods approach was used. Subjects (N=46) participated in the study for approximately two and a half weeks. A pretest was administered for science conceptual understanding and for attitude towards science. An intervention, web-based nanotechnology anchor, Catching the Rays, followed. Catching the Rays navigated subjects through a nano quest on sunscreen. After the intervention, a posttest was administered for each science conceptual understanding and attitude towards science. Following, a purposeful selection of interviewees (N=6) participated in a Nano Post- Interview. Pretest/posttest data were analyzed using a paired t test. Results of the paired t test for science conceptual understanding (post- being larger than pre-, p <. 01) and attitude towards science (post- being larger than pre-, p < .01) were significant at the p < .05 alpha level. Nano Post-Interview data were coded and analyzed independently by two raters for emerging themes. Two themes of "Risks and Benefits" and "Solves Problems" emerged from subjects' (N=6) responses to perception of science in society questions. The theme of "Risks and Benefits" strongly suggests that subjects have a positive perception that nanotechnology comes with risks and benefits to society. The theme of "Solves Problems" strongly suggests subjects have a positive perception that nanotechnology is governed by society's needs and is used to help solve society's problems. Findings from this study suggest that PBL with web-anchored instruction in nanotechnology had a positive effect on subjects' science conceptual understanding, attitude towards science, and perception of science in society.
Show less
Date Issued
2011
PURL
http://purl.flvc.org/FAU/3322517
Subject Headings
Science, Study and teaching (Elementary), Computer-assisted instruction, Educational technology, Achievement in education, Cognition in children, Knowledge, Theory of
Format
Document (PDF)