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PODS
2009
ACM
100views Database» more  PODS 2009»
16 years 7 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
PODS
2004
ACM
148views Database» more  PODS 2004»
16 years 6 months ago
Deterministic Wavelet Thresholding for Maximum-Error Metrics
Several studies have demonstrated the effectiveness of the wavelet decomposition as a tool for reducing large amounts of data down to compact wavelet synopses that can be used to ...
Minos N. Garofalakis, Amit Kumar
CVPR
2005
IEEE
16 years 8 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ICML
2009
IEEE
16 years 7 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ICLP
2009
Springer
16 years 7 months ago
Preprocessing for Optimization of Probabilistic-Logic Models for Sequence Analysis
Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
Henning Christiansen, Ole Torp Lassen