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COGSR
2011
105views more  COGSR 2011»
13 years 2 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
POPL
2008
ACM
14 years 8 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 2 months ago
Framework for Establishing Enterprise Modeling in the Context of Collaborative Enterprises
Increased market dynamics, shorter product lifecycles and a higher customer involvement in product design have caused great changes to competitive conditions and many companies ar...
Thomas Knothe, Timo Kahl, Dieter Boell, Kristof Sc...
IPPS
1999
IEEE
14 years 20 hour ago
Design and Implementation of a Scalable Parallel System for Multidimensional Analysis and OLAP
Multidimensional Analysis and On-Line Analytical Processing (OLAP) uses summary information that requires aggregate operations along one or more dimensions of numerical data value...
Sanjay Goil, Alok N. Choudhary
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
14 years 8 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais