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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 5 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
GECCO
2009
Springer
15 years 11 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao
WINE
2009
Springer
127views Economy» more  WINE 2009»
15 years 11 months ago
Nash Dynamics in Congestion Games with Similar Resources
We study convergence of ε-Nash dynamics in congestion games when delay functions of all resources are similar. Delay functions are said to be similar if their values are within a...
Anand Bhalgat, Tanmoy Chakraborty, Sanjeev Khanna
152
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CCS
2007
ACM
15 years 10 months ago
Dynamic pharming attacks and locked same-origin policies for web browsers
We describe a new attack against web authentication, which we call dynamic pharming. Dynamic pharming works by hijacking DNS and sending the victim’s browser malicious Javascrip...
Chris Karlof, Umesh Shankar, J. Doug Tygar, David ...
NIPS
1998
15 years 5 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis