ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
ICML
2009
IEEE
14 years 5 months 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
14 years 5 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
ICML
2009
IEEE
14 years 5 months 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
14 years 5 months 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
14 years 5 months ago
2009
IEEE
ICML
2009
IEEE
14 years 5 months 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...