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» Boosting Methods for Regression
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KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 3 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
133
Voted
GCB
2009
Springer
154views Biometrics» more  GCB 2009»
15 years 7 months ago
Comparative Identification of Differential Interactions from Trajectories of Dynamic Biological Networks
Abstract: It is often challenging to reconstruct accurately a complete dynamic biological network due to the scarcity of data collected in cost-effective experiments. This paper ad...
Zhengyu Ouyang, Mingzhou Song
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 7 months ago
Genetic programming for agricultural purposes
Nitrogen is one of the most important chemical intakes to ensure the healthy growth of agricultural crops. However, some environmental concerns emerge (soil and water pollution) w...
Clément Chion, Luis E. Da Costa, Jacques-An...
156
Voted
CLEF
2010
Springer
15 years 4 months ago
Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
Walter Lucetti, Emanuel Luchetti
BMCBI
2004
127views more  BMCBI 2004»
15 years 3 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...