—Building upon recent approaches for detection of impulse-radio ultra-wideband (IR-UWB) based on compressed sensing (CS), we combine this approach with techniques known from adva...
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
All previous work on “candidate-control” manipulation of elections has been in the model of full-information, simultaneous voting. This is a problem, since in quite a few real...
We are concerned about a view in undergraduate computer science education, especially in the early courses, that it’s okay to be math-phobic and still prepare oneself to become ...
Charles Kelemen, Allen B. Tucker, Peter Henderson,...
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...