Improved machine learning models for predicting selective compounds.
Summary of "Improved machine learning models for predicting selective compounds."
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Affiliation
Department of Computer Science & Engineering and ‡College of Pharmacy, University of Minnesota , Twin Cities, Minneapolis, Minnesota 55455, United States.
Journal Details
This article was published in the following journal.
Name: Journal of chemical information and modeling
ISSN: 1549-960X
Pages: 1411
Links
- PubMed Source: http://www.ncbi.nlm.nih.gov/pubmed/22554082
- DOI: http://dx.doi.org/10.1021/ci300201j
Medical and Biotech [MESH] Definitions
Transfer (psychology)
Change in learning in one situation due to prior learning in another situation. The transfer can be positive (with second learning improved by first) or negative (where the reverse holds).
Probability Learning
Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.
Models, Educational
Theoretical models which propose methods of learning or teaching as a basis or adjunct to changes in attitude or behavior. These educational interventions are usually applied in the fields of health and patient education but are not restricted to patient care.
Models, Biological
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Hexamethonium Compounds
Compounds containing the hexamethylenebis(trimethylammonium) cation. Members of this group frequently act as antihypertensive agents and selective ganglionic blocking agents.
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Improved machine learning models for predicting selective compounds.
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