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» Boosting Methods for Regression
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NIPS
2007
13 years 11 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
BMCBI
2007
136views more  BMCBI 2007»
13 years 10 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
PRL
2008
198views more  PRL 2008»
13 years 10 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
DSD
2005
IEEE
116views Hardware» more  DSD 2005»
14 years 3 months ago
Validation of Embedded Systems Using Formal Method Aided Simulation
This paper proposes a validation approach, based on simulation, which addresses problems related to both state space explosion of formal methods and low coverage of informal metho...
Daniel Karlsson, Petru Eles, Zebo Peng
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 11 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou