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» Test Generation Algorithms Based on Preorder Relations
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CIDM
2009
IEEE
15 years 10 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
CVPR
2012
IEEE
13 years 5 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
AUSAI
2005
Springer
15 years 9 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
121
Voted
WABI
2005
Springer
118views Bioinformatics» more  WABI 2005»
15 years 8 months ago
A Hidden Markov Technique for Haplotype Reconstruction
We give a new algorithm for the genotype phasing problem. Our solution is based on a hidden Markov model for haplotypes. The model has a uniform structure, unlike most solutions pr...
Pasi Rastas, Mikko Koivisto, Heikki Mannila, Esko ...
ICCAD
2001
IEEE
89views Hardware» more  ICCAD 2001»
16 years 8 days ago
Sequential SPFDs
SPFDs are a mechanism to express flexibility in Boolean networks. Introduced by Yamashita et al. in the context of FPGA synthesis [4], they were extended later to general combina...
Subarnarekha Sinha, Andreas Kuehlmann, Robert K. B...