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» A Boosting Algorithm for Regression
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AAAI
2011
14 years 4 months ago
End-User Feature Labeling via Locally Weighted Logistic Regression
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis ...
ICCV
2005
IEEE
16 years 6 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CSR
2007
Springer
15 years 10 months ago
Estimation of the Click Volume by Large Scale Regression Analysis
Abstract. How could one estimate the total number of clicks a new advertisement could potentially receive in the current market? This question, called the click volume estimation p...
Yury Lifshits, Dirk Nowotka
MMB
2012
Springer
259views Communications» more  MMB 2012»
14 years 1 days ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...
SIGSOFT
2007
ACM
16 years 5 months ago
Differential testing: a new approach to change detection
Regression testing, as it's commonly practiced, is unsound due to inconsistent test repair and test addition. This paper presents a new technique, differential testing, that ...
Robert B. Evans, Alberto Savoia