3,171 research outputs found
Managing Bobwhites in the Cutover Pinelands of South Florida
Because the principles governing production of quail are similar throughout its range, only problems and techniques unique to the flat-woods of southwest Florida are discussed. A description of these pine-lands includes geology and soils, climate and key plant communities. The Florida bobwhite and its foods and other needs are discussed briefly. A major portion of the text is concerned with the effects of primary land uses on quail habitat, and management modifications to improve quail production
A study of the ability of prospective elementary teachers to understand and use maps
Thesis (Ed.M.)—Boston University, 196
A System for Accessible Artificial Intelligence
While artificial intelligence (AI) has become widespread, many commercial AI
systems are not yet accessible to individual researchers nor the general public
due to the deep knowledge of the systems required to use them. We believe that
AI has matured to the point where it should be an accessible technology for
everyone. We present an ongoing project whose ultimate goal is to deliver an
open source, user-friendly AI system that is specialized for machine learning
analysis of complex data in the biomedical and health care domains. We discuss
how genetic programming can aid in this endeavor, and highlight specific
examples where genetic programming has automated machine learning analyses in
previous projects.Comment: 14 pages, 5 figures, submitted to Genetic Programming Theory and
Practice 2017 worksho
Chapter 11: Genome-Wide Association Studies
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS
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