Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ben Yuhas"'
Autor:
Cassandra Pallai, Ben Yuhas, Michael T. Norton, Allyson Muth, Conor N. Phelan, James C. Finley, Alexander L. Metcalf
Publikováno v:
Conservation Biology
Widespread human action and behavior change is needed to achieve many conservation goals. Doing so at the requisite scale and pace will require the efficient delivery of outreach campaigns. Conservation gains will be greatest when efforts are directe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b24994edf915cc4eab4a710248d6fb
https://doi.org/10.1111/cobi.13315
https://doi.org/10.1111/cobi.13315
Autor:
Kecia L. Addison, Ben Yuhas, Himabindu Lakkaraju, Everaldo Aguiar, David I. Miller, Nasir H. Bhanpuri
Publikováno v:
LAK
Several hundred thousand students drop out of high school every year in the United States. Interventions can help those who are falling behind in their educational goals, but given limited resources, such programs must focus on the right students, at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f3b960cdef95fe5443f2eb6ebd62b53
https://doi.org/10.1145/2723576.2723619
https://doi.org/10.1145/2723576.2723619
Autor:
Ben Yuhas, Nirwan Ansari
Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of t
Autor:
Ben Yuhas, Nirwan Ansari
Publikováno v:
Neural Networks in Telecommunications ISBN: 9781461361794
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd035563abad66c348461772df9c80d0
https://doi.org/10.1007/978-1-4615-2734-3_1
https://doi.org/10.1007/978-1-4615-2734-3_1
Publikováno v:
Neural Networks in Telecommunications ISBN: 9781461361794
In this chapter we empirically compare neural networks and statistical methods on two telecommunications problems — one regression problem and one classification problem. Our goal is to explore the relative performance of neural networks and severa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f4e2008b81a4fa688fc44276e37be17
https://doi.org/10.1007/978-1-4615-2734-3_17
https://doi.org/10.1007/978-1-4615-2734-3_17