ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
We describe an adaptation and application of a search-based structured prediction algorithm "Searn" to unsupervised learning problems. We show that it is possible to red...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE
We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distributions are unknown and may c...
ICML
2009
IEEE
15 years 8 days ago
2009
IEEE