70 search results - page 6 / 14 » Learning Fourier Sparse Set Functions |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...