Data Classification is a task that could be found in many life activities. In general, the term could be used for any activity that derives some decision or forecast based on the currently available information. Using a more accurate definition, a...
A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted distance. The local weighting of the distance accounts for the variation in local scaling...
Lung cancer is the deadliest type of known cancer in the United States, claiming hundreds of thousands of lives each year. However, despite the high mortality rate, the 5-year survival rate after resection of Stage 1A non–small cell lung cancer...
An ensemble consists of a set of individual predictors whose predictions are combined. Generally, different classification and regression models tend to work well for different types of data and also, it is usually not know which algorithm will be...
For complex classification systems, data is usually gathered from multiple sources of information that have varying degree of reliability. In fact, assuming that the different sources have the same relevance in describing all the data might lead to...
The area of Knowledge discovery and data mining is growing rapidly. Feature Discretization is a crucial issue in Knowledge Discovery in Databases (KDD), or Data Mining because most data sets used in real world applications have features with...
The classification of self-dual codes has been an extremely active area in
coding theory since 1972 [33]. A particularly interesting class of self-dual codes
is those of Type II which have high minimum distance (called extremal or...
Corpus callosum; Diagnostic imaging; Autism--Diagnosis
Early detection of human disease in today’s society can have an enormous impact
on the severity of the disease that is manifested. Disease such as Autism and Dyslexia,
which have no current cure or proven mechanism as to how they develop, can...
Pattern perception--Data processing; Pattern recognition systems; Land mines--Detection; Data mining
For complex detection and classification problems, involving data with large intra-class variations and noisy inputs, no single source of information can provide a satisfactory solution. As a result, combination of multiple classifiers is playing...
This thesis is a methodological analysis of fire locations in Canadian provinces
from 2001 to 2010. The research presented in this thesis highlights the dominant fire
types for each province. Accurately locating active fires and burned area is...
College dropouts--Prevention; Social work education--Kentucky--Louisville; Social workers--Training of--Kentucky--Louisville; Academic achievement--Kentucky--Louisville
This study tested a hypothetical model for predicting both graduate GPA and graduation of University of Louisville Kent School of Social Work Master of Science in Social Work (MSSW) students entering the program during the 2001-2005 school years....
Experiential learning; College students--Medical care; Interns (Medicine)
This exploratory study was conducted using a descriptive design and examined the use of college health centers for academic internships and clinical rotations. In addition, the study examined the relationship among health center director and school...
From a computerized image analysis prospective, early diagnosis of lung cancer involves detection of doubtful nodules and classification into different pathologies. The detection stage involves a detection approach, usually by template matching,...
Counseling in higher education; Faculty advisors--Attitudes; College students--Attitudes
The best style of advising to offer students has been questioned over and over. The
literature review revealed uncertainty related to national surveys of advisors and students and
encouraged smaller institutional reviews. The Academic Advising...
Aims. The primary aim of this randomized, blinded, controlled clinical trial was to compare the percent root coverage obtained using acellular dermal matrix allograft and connective tissue graft using the coronally positioned tunnel technique 4...
This study defines a new approach for building a Web Services based infrastructure for distributed data mining applications. The proposed architecture provides a roadmap for "autonomic" functionality of the infrastructure hiding the...
This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the first part, we propose two different solutions to the coronal loop detection...
Pattern recognition systems; Land mines--Detection; Pattern perception--Data processing; Data mining
Traditional machine learning and pattern recognition systems use a feature descriptor to describe the sensor data and a particular classifier (also called "expert" or "learner") to determine the true class of a given pattern....
Background . Heart failure treatment guidelines emphasize the importance of daily weight monitoring. To support this practice, the Health Care Financing Administration Heart Failure Demonstration Project (2000) was designed to evaluate the effect...
Legal and illegal gambling opportunities are readily available to students on college campuses and surrounding areas (Saum, 1999). College students are at an age that is highly impressionable, experimental, and prime to taking risks while ignoring...
