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» On a theory of learning with similarity functions
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CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 7 months ago
Learning Determinantal Point Processes
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...
Alex Kulesza, Ben Taskar
SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
15 years 5 months ago
Applying learning algorithms to preference elicitation
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...
Sébastien Lahaie, David C. Parkes
CCS
2006
ACM
15 years 3 months ago
Can machine learning be secure?
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...
EPK
2006
84views Management» more  EPK 2006»
15 years 1 months ago
Using BPEL Processes defined by Event-driven Process Chains
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...
Carlo Simon, Jörn Freiheit, Sebastian Olbrich
AUTOMATICA
2000
71views more  AUTOMATICA 2000»
14 years 11 months ago
Linear quadratic bumpless transfer
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...
Matthew C. Turner, Daniel J. Walker