Most supervised machine learning algorithms assume that each training data point is paired with an accurate training label (for classification) or value (for regression). However, obtaining accurate training label information is often time consuming and expensive, making it infeasible for large data sets, or may simply be impossible to provide g...
Creator:
Zare, Alina (University of Florida)
Created:
2018-10-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The first generation of theories and computer simulations of liquid crystals have made drastic and often contrasting assumptions on the model representation of constituent mesogens and on the type of intermolecular interactions (e.g purely attractive in Maier-Saupe type and purely hard repulsions in Onsager models). Computer simulations of liqui...
Creator:
Zannoni, Claudio (Universita Di Bologna)
Created:
2018-01-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Predicting realistic morphologies and molecular organizations from chemical structure is far from easy and indeed has only recently proved doable by atomistic molecular dynamics. The issue is further complicated in thin films, where the material is strongly affected by surface interactions, even if obtaining information on alignment and anchorin...
Creator:
Zannoni, Claudio (Universita Di Bologna)
Created:
2018-03-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The ocean contains a vigorous mesoscale eddy field with spatial scales of approximately 10 to 100km, evolving over time scales from weeks to months. These eddies are important in establishing the ocean's circulation and tracer properties. Grid spacing of roughly 10 km and smaller are necessary to properly simulate the eddy field, therefore ocean...
Creator:
Zanna, Laure (University of Oxford)
Created:
2013-03-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Branwen Zakariasen is a white trans woman originally from Texas who later spent time in Minneapolis and Portland. At the time of this interview, she was working as a customer support specialist. In this oral history Zakariasen discusses naming, healing from trauma and abuse, taking up labels, family relationships, sexism, and the video game indu...
Creator:
Zakariasen, Brawen
Contributor:
Jenkins, Andrea (Interviewer)
Created:
2017-03-21
Contributed By:
University of Minnesota Libraries, Jean-Nickolaus Tretter Collection in Gay, Lesbian, Bisexual and Transgender Studies.