LISP
2007
13 years 11 months ago
2007
Krivine presents the K machine, which produces weak head normal form results. Sestoft introduces several call-by-need variants of the K machine that implement result sharing via pu...
VIROLOGY
2008
13 years 11 months ago
2008
High-interaction honeypots are interesting as they help understand how attacks unfold on a compromised machine. However, observations are generally limited to the operations perfo...
JOT
2007
13 years 11 months ago
2007
machines raise the abstraction level of the execution environment at the cost of restricting the set of supported languages. Moreover, the ability of a language implementation to i...
CGF
2005
13 years 11 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
ANOR
2005
13 years 11 months ago
2005
: We consider in this paper a two-machine flowshop scheduling problem in which the first machine processes jobs individually while the second machine processes jobs in batches. The...
RE
2006
Springer
13 years 11 months ago
2006
Springer
A technique is presented for obtaining a specification from a requirement through a series of incremental steps. The starting point is a Problem Frame description involving a requ...
PAA
2006
13 years 11 months ago
2006
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
EOR
2007
13 years 11 months ago
2007
The paper proposes a preventive maintenance (PM) planning model for the performance improvement of cellular manufacturing systems (CMS) in terms of machine reliability, and resour...
ENGL
2007
13 years 11 months ago
2007
—Calculations of iron losses in the electrical machines are normally based on experimental characteristics of core material used in the machines. These methods with simplified ma...
JMLR
2006
13 years 11 months ago
2006
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...