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» A Boosting Algorithm for Regression
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167
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 9 days ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
AI
2011
Springer
14 years 9 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
122
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
Xueru Zhang, Kris Demuynck, Hugo Van hamme
133
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
ICMCS
2007
IEEE
203views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Efficient Video Object Segmentation by Graph-Cut
Segmentation of video objects from background is a popular computer vision problem and has many important applications. Most existing methods are either computationally expensive ...
Jinjun Wang, Wei Xu, Shenghuo Zhu, Yihong Gong