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» Estimation in covariate-adjusted regression
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IDA
2007
Springer
15 years 3 months ago
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Carlos Valle, Ricardo Ñanculef, Héct...
CSDA
2007
120views more  CSDA 2007»
14 years 9 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
ICPR
2000
IEEE
15 years 10 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer
GLOBECOM
2008
IEEE
15 years 4 months ago
Inferring Internet Worm Temporal Characteristics
— Internet worm attacks pose a significant threat to network security. In this work, we coin the term Internet worm tomography as inferring the characteristics of Internet worms...
Qian Wang, Zesheng Chen, Kia Makki, Niki Pissinou,...
PROFES
2004
Springer
15 years 3 months ago
Effort Estimation Based on Collaborative Filtering
Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require histori...
Naoki Ohsugi, Masateru Tsunoda, Akito Monden, Ken-...