Error-correcting output coding (ECOC) is a method for converting a k-classsupervised learning problem into a large number L of two-class supervised learningproblems and then combining the results of these L evaluations. Previous researchhas shown that ECOC can dramatically improve the classi cation accuracy of supervisedlearning algorithms that learn to classify...
This qualitative study examined organizational change including the
necessary steps that a large school district took in planning and implementing a
reform effort. This project told a story of one school district's experience.
The study covered a five year period from 1990 to 1995 in the 30,000 student
Salem-Keizer School...
I offer a personal and prehistoric exploration of the concept of immanence, the principle of a divine force living, remaining, and operating within living creatures, inherent in the human, including the female; a unifying force that connects humans to each other, to nature, and to the earth. I examine the...
We developed and investigated machine learning methods that require
minimal preprocessing of the input data, use few training examples, run fast, and
still obtain high levels of accuracy.
Most approaches to designing machine learning programs are based on the
supervised learning paradigm – training examples are chosen randomly and given...
Gastrointestinal (GI) transit data were collected using pigs
as animal models. Density and size effects of non-disintegrating
dosage forms on GI transit were investigated. Total GI transit
times range from 2 to 33 days for 22 administrations of these nondisintegrating
dosage forms. Pigs are found to not be an
appropriate...