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Filtering by: Committee Member Marshall, Byron

Learning with Partial Supervision for Clustering and Classification

Creator:

Pei, Yuanli

Abstract:

In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...

Resource Type:

Dissertation
Evaluation of collaborative filtering and content based filtering recommenders in jTutors (an online intelligent tutoring system)

Creator:

Appasamy, Bharatwaj

Abstract:

Software engineers often need help with discovering and learning how to use APIs. For example, software engineers who are starting to learn Java, and they want to implement a certain feature in a program, they might want to reuse existing APIs in order to save time versus rewriting it themselves...

Resource Type:

Masters Thesis
The effects of CI tools and implementation practices on hospital performance

Creator:

Holliday, John W.

Abstract:

Continuous Improvement (CI) is an integral part of hospital administration. This study examined the relationship between five CI variables against six hospital criterion measures of, wait times to prepare a room, patient costs per day, waiting time for lab results, reportable errors, patient satisfaction, and employee satisfaction. The research was...

Resource Type:

Dissertation
A technology acquisition tool for key decision makers

Creator:

Self, Stephen

Abstract:

Objectives The purpose of this study was to investigate the need for a technology acquisition tool to be used in the capital purchasing process in health care organizations. Design Multi-method approach consisting of interviews of ten executives of health care organizations. A written survey was then mailed to Chief Executive...

Resource Type:

Dissertation