Dspace mit edu handle 1721 81412

Atz's top search results for the words: "dspace mit edu handle 1721 81412"

Garbage Collection is Fast, But a Stack is Faster » 1462. March, 1994. Garbage Collection is Fast, But a Stack is Faster. James S. Miller ([email protected]). and. Guillermo J. Rozas ([email protected]) . This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. The pathname for this publication is: ai-publications/1994/AIM-1462.ps.Z. Abstract. Citeseerx.ist.psu.edu

The Big Data Newsvendor: Practical Insights from Machine Learning » Feb 6, 2014 ...We investigate the newsvendor problem when one has n observations of p features related to the demand as well as past demands. Both small data (p=n = o(1)) and big data (p=n = O(1)) are considered. For both cases, we propose a machine learning algorithm to solve the problem and derive a tight... Dspace.mit.edu

MIT Theses Research and Teaching Output of the MIT Community » This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use Barton, MIT Libraries' catalog. MIT's DSpace contains more than 40,000 theses completed at MIT dating as far back as... Dspace.mit.edu

The Big Data Newsvendor » Oct 7, 2013 ...All rights reserved. Except where otherwise noted, this item's license is described as. Attribution-NonCommercial-NoDerivs 3.0 United States. This paper also can be downloaded without charge from the. MIT DSpace Electronic Paper Collection : http://hdl.handle.net/1721.1/81412. Electronic copy available... Pdfs.semanticscholar.org

The Big Data Newsvendor: Practical Insights from Machine Learning ... » Oct 16, 2013 ...We present a version of the newsvendor problem where one has n observations of p features as well as past demand. We consider both ig data" (p=n = O(1)) as well as small data (p=n = o(1)). For small data, we provide a linear programming machine learning algorithm that yields an asymptotically... Dspace.mit.edu

DSpace@MIT: Home » The Libraries has launched a “quicksubmit” web form to help Department of Energy-funded MIT authors comply with research funder public access requirements for articles. We built the form in response to the Department of Energy's public access plan, which requires researchers to submit accepted manuscripts reporting... Dspace.mit.edu

Recent Searches

Terms & Privacy

The information forward from this site may be provided by third parties. We will not be responsible with outside links, contents from source of information, methods of using, using or consequence of contents with users. All direct or indirect risk related to use of this site is borne entirely by you, the user.

We use advertising companies as Google AdSense, to serve ads when you visit our website. These companies may use information (not including your name, address, email address, or telephone number) about your visits to this and other websites in order to provide advertisements about goods and services of interest to you. If you would like more information about this practice and to know your choices about not having this information used by these companies, see https://policies.google.com/technologies/ads.