Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
ICML
2009
IEEE
11 years 11 months ago
Unsupervised search-based structured prediction
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...
Hal Daumé III
ICML
2009
IEEE
11 years 11 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
ICML
2009
IEEE
11 years 11 months ago
Boosting products of base classifiers
Balázs Kégl, Róbert Busa-Feke...
ICML
2009
IEEE
11 years 11 months ago
Bandit-based optimization on graphs with application to library performance tuning
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...
Arpad Rimmel, Frédéric de Mesmay, Ma...
ICML
2009
IEEE
11 years 11 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
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...
Youngmin Cho, Lawrence K. Saul
ICML
2009
IEEE
11 years 11 months ago
Accounting for burstiness in topic models
Gabriel Doyle, Charles Elkan
ICML
2009
IEEE
11 years 11 months ago
On primal and dual sparsity of Markov networks
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...
Jun Zhu, Eric P. Xing
ICML
2009
IEEE
11 years 11 months ago
Piecewise-stationary bandit problems with side observations
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...
Jia Yuan Yu, Shie Mannor
ICML
2009
IEEE
11 years 11 months ago
Structure preserving embedding
Blake Shaw, Tony Jebara
books