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» Measuring empirical computational complexity
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HPDC
2010
IEEE
15 years 2 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
ICPR
2000
IEEE
16 years 2 months ago
Measuring the Complexity of Classification Problems
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...
Tin Kam Ho, Mitra Basu
JMLR
2010
119views more  JMLR 2010»
14 years 8 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
ECAI
2010
Springer
15 years 2 months ago
An Empirical Study of the Manipulability of Single Transferable Voting
Abstract. Voting is a simple mechanism to combine together the preferences of multiple agents. Agents may try to manipulate the result of voting by mis-reporting their preferences....
Toby Walsh
80
Voted
IWPC
2010
IEEE
15 years 9 days ago
A Simple and Effective Measure for Complex Low-Level Dependencies
The measure dep-degree is a simple indicator for structural problems and complex dependencies on code-level. We model low-level dependencies between program operations as use-def ...
Dirk Beyer, Ashgan Fararooy