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» New Algorithms for Statistical Analysis of Interval Data
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SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 4 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
CPM
2009
Springer
127views Combinatorics» more  CPM 2009»
15 years 6 months ago
Deconstructing Intractability: A Case Study for Interval Constrained Coloring
The NP-hard Interval Constrained Coloring problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer interv...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...
ACL
2011
14 years 3 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....

Presentation
1575views
16 years 10 months ago
Beyond Generating Transit Performance Measures: Visualizations and Statistical Analysis using Historical Data
In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide ...
M. Berkow, A. El-Geneidy, R.L. Bertini, D. Crout
BMCBI
2010
113views more  BMCBI 2010»
14 years 11 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...