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JCNS
2010
104views more  JCNS 2010»
13 years 8 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
JMLR
2010
135views more  JMLR 2010»
13 years 8 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
MA
2010
Springer
140views Communications» more  MA 2010»
13 years 8 months ago
On the limiting spectral distribution of the covariance matrices of time-lagged processes
We consider two continuous-time Gaussian processes, one being partially correlated to a time-lagged version of the other. We first give the limiting spectral distribution for the ...
Christian Y. Robert, Mathieu Rosenbaum
PR
2010
156views more  PR 2010»
13 years 8 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
PVLDB
2010
97views more  PVLDB 2010»
13 years 8 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande