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» Algorithms for the Sample Mean of Graphs
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COLT
2010
Springer
15 years 2 months ago
Best Arm Identification in Multi-Armed Bandits
We consider the problem of finding the best arm in a stochastic multi-armed bandit game. The regret of a forecaster is here defined by the gap between the mean reward of the optim...
Jean-Yves Audibert, Sébastien Bubeck, R&eac...
ILP
2007
Springer
15 years 10 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
NIPS
1997
15 years 5 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
ICCV
2005
IEEE
15 years 10 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
BPM
2008
Springer
155views Business» more  BPM 2008»
15 years 6 months ago
The Refined Process Structure Tree
Abstract. We consider workflow graphs as a model for the control flow of a business process model and study the problem of workflow graph parsing, i.e., finding the structure of a ...
Jussi Vanhatalo, Hagen Völzer, Jana Koehler