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127
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ESANN
2003
15 years 5 months ago
2003
The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
134
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ALT
2008
Springer
16 years 1 months ago
2008
Springer
It is investigated for which choice of a parameter q, denoting the number of contexts, the class of simple external contextual languages is iteratively learnable. On one hand, the ...
109
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
146
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
123
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage m...