We consider computational issues in combining logical knowledge bases represented by their characteristic models; in particular, we study taking their logical intersection. We pre...
a growing need to study abstract problems in distributed multi-agent systems in a systematic way, as well as to provide a qualitative mathematical framework in which to compare po...
— The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at subNyquist acquisition rates. We develop new theory, algorithms...
Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tam...
This paper reviews applications in computer science that decision theorists have addressed for years, discusses the requirements posed by these applications that place great strai...
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...