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JCNS
2010
104views more  JCNS 2010»
15 years 5 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...
PVLDB
2010
97views more  PVLDB 2010»
15 years 5 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
SPIRE
2010
Springer
15 years 5 months ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
MA
2011
Springer
241views Communications» more  MA 2011»
15 years 1 months ago
On the distribution of the ratio of the largest eigenvalue to the trace of a Wishart matrix
The ratio of the largest eigenvalue divided by the trace of a p×p random Wishart matrix with n degrees of freedom and identity covariance matrix plays an important role in variou...
Boaz Nadler
EDBT
2011
ACM
281views Database» more  EDBT 2011»
14 years 10 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo