1393 search results - page 123 / 279 » Machine Learning by Function Decomposition |
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
140
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SIAMJO
2010
14 years 8 months ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
124
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COLT
2007
Springer
15 years 8 months ago
2007
Springer
We prove that the concept class of disjunctions cannot be pointwise approximated by linear combinations of any small set of arbitrary real-valued functions. That is, suppose there ...
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
127
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CVPR
1997
IEEE
16 years 3 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...