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LATIN
2010
Springer
15 years 4 months ago
Lipschitz Unimodal and Isotonic Regression on Paths and Trees
Abstract. We describe algorithms for finding the regression of t, a sequence of values, to the closest sequence s by mean squared error, so that s is always increasing (isotonicit...
Pankaj K. Agarwal, Jeff M. Phillips, Bardia Sadri
AAAI
2011
13 years 9 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
ICML
2007
IEEE
15 years 10 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
CSDA
2010
175views more  CSDA 2010»
14 years 9 months ago
Testing, monitoring, and dating structural changes in exchange rate regimes
Linear regression models for de facto exchange rate regime classification are complemented by inferential techniques for evaluating the stability of the regimes. To simultaneously...
Achim Zeileis, Ajay Shah, Ila Patnaik
BMCBI
2007
136views more  BMCBI 2007»
14 years 9 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette