In this short essay, Native elder Sharon Doolittle Shuck reflects on entering her eighth decade of life and all the changes that have happened in the world and her community during her lifetime. She discusses how things have changed even more dramatically and quickly in 2020 due to the COVID-19 pandemic, with video chats, online banking and orde...
Creator:
Shuck, Sharon Doolittle
Created:
2020
Contributed By:
Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
We propose a minimax concave penalized multi-armed bandit algorithm under generalized linear model (G-MCP-Bandit) for a decision-maker facing high-dimensional data in an online learning and decision-making process. We demonstrate that the G-MCP-Bandit algorithm asymptotically achieves the optimal cumulative regret in the sample size dimension T,...
Creator:
Wei, Mike (University at Buffalo (SUNY))
Created:
2018-12-05
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This is a new concept of publication for image processing. Putting image processing and image analysis algorithms on line allows every researcher to test directly the algorithms on his (her) own images. Some sample images are also proposed on each algorithm site. This project is under construction, but several algorithms are already available at...
Creator:
Morel, Jean-Michel (École Normale Supérieure de Cachan)
Created:
2009-10-07
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Online bipartite matching is a fundamental problem in OR and CS with applications such as offering products to customers or allocating jobs to candidates, advertisers to ad slots, or drivers to passengers. These problems can be abstracted as follows: there are fixed resources, which must be allocated on-the-fly, without assuming anything about f...
Creator:
Simchi-Levi, David (Massachusetts Institute of Technology)
Created:
2017-07-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We consider an online assortment optimization problem with n substitutable products with reusable capacities. In each period, a user with a preference model (potentially adversarially chosen) arrives to the platform, and is offered an assortment of products that have available capacity. The user selects a product p from the offered assortment ac...
Creator:
Goyal, Vineet (Columbia University)
Created:
2018-10-03
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
A series of discussions and dramatizations of authentic court cases produced by KUOM and the University of Minnesota Law School June 4 - August 28, 1957
Creator:
University of Minnesota. Radio Station KUOM
Created:
1957-06-11
Contributed By:
University of Minnesota Libraries, University Archives.
In this work we investigate on hybrid statistical methods based on a combination of Sparse Partial Least Squares methodology and Elastic Net regression. Through simulations, we first observe that while the Elastic Net methodology struggles much more than the Sparse Partial Least Squares in identifying noise variables, the Sparse Partial Least Sq...
Creator:
Miakonkana, Guy-vanie Marcias (University of Minnesota, Twin Cities)
Created:
2014-05-05
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
