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» Measuring empirical computational complexity
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SODA
2000
ACM
85views Algorithms» more  SODA 2000»
14 years 14 days ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
EUROPAR
2005
Springer
14 years 4 months ago
Event-Based Measurement and Analysis of One-Sided Communication
Abstract. To analyze the correctness and the performance of a program, information about the dynamic behavior of all participating processes is needed. The dynamic behavior can be ...
Marc-André Hermanns, Bernd Mohr, Felix Wolf
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 4 months ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
WSC
2008
14 years 1 months ago
Measuring the effectiveness of the s-metric to produce better network models
Recent research has shown that while many complex networks follow a power-law distribution for their node degrees, it is not sufficient to model these networks based only on their...
Isabel Beichl, Brian Cloteaux
ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
14 years 5 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom