Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
Abstract: The paper discusses the usability concept of workflow services for eventdriven process chains. Usability is similar to controllability, known from Workflow net based BPEL...
The use of linear quadratic theory in bumpless transfer is discussed and a modification to a similar scheme proposed in [9] is suggested. Formulae are given for a feedback element...