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» Fit data selection for software effort estimation models
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CVPR
2004
IEEE
15 years 12 days ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 11 months ago
Active Mining of Data Streams
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
GIL
2010
13 years 9 months ago
Model-based Approach to Quantify and Regionalize Peanut Production in the Major Peanut Production Provinces in the People's Repu
: China is the largest peanut producer in the world and peanut therefore an essential economic product earning significant income for China’s farmers. Major provinces for peanut ...
Heike Knörzer, Simone Graeff-Hönninger, ...
ICML
2007
IEEE
14 years 11 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
BMCBI
2007
197views more  BMCBI 2007»
13 years 10 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park