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» The Structure Function and Distinguishable Models of Data
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CORR
2010
Springer
188views Education» more  CORR 2010»
13 years 9 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 6 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
BMCBI
2006
116views more  BMCBI 2006»
13 years 9 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
SSD
2007
Springer
124views Database» more  SSD 2007»
14 years 3 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
SNPD
2003
13 years 10 months ago
Semantics of Minimally Synchronous Parallel ML
This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. I...
Myrto Arapinis, Frédéric Loulergue, ...