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» A Comparison of Model Aggregation Methods for Regression
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IROS
2008
IEEE
191views Robotics» more  IROS 2008»
14 years 1 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
PROMISE
2010
13 years 2 months ago
Modeling the relationship between software effort and size using deming regression
Background: The relation between software effort and size has been modeled in literature as exponential, in the sense that the natural logarithm of effort is expressed as a linear...
Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Arg...
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 7 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
ICML
2005
IEEE
14 years 8 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
DIS
2009
Springer
14 years 2 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba