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» On Model Selection Consistency of Lasso
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AI
2004
Springer
13 years 8 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
BMCBI
2007
158views more  BMCBI 2007»
13 years 8 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
IJCV
2008
106views more  IJCV 2008»
13 years 8 months ago
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
Given an image sequence of a scene consisting of multiple rigidly moving objects, multi-body structure-and-motion (MSaM) is the task to segment the image feature tracks into the d...
Konrad Schindler, David Suter, Hanzi Wang
COLING
2010
13 years 3 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
FMCO
2006
Springer
128views Formal Methods» more  FMCO 2006»
14 years 3 days ago
Model-Based Test Selection for Infinite-State Reactive Systems
This paper addresses the problem of off-line selection of test cases for testing the conformance of a black-box implementation with respect to a specification, in the context of re...
Bertrand Jeannet, Thierry Jéron, Vlad Rusu