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» A Boosting Algorithm for Regression
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ICML
2007
IEEE
16 years 2 days ago
Transductive regression piloted by inter-manifold relations
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
ICML
2006
IEEE
16 years 2 days ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
15 years 11 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
DAC
2004
ACM
15 years 3 months ago
Probabilistic regression suites for functional verification
Random test generators are often used to create regression suites on-the-fly. Regression suites are commonly generated by choosing several specifications and generating a number o...
Shai Fine, Shmuel Ur, Avi Ziv
COCO
2009
Springer
99views Algorithms» more  COCO 2009»
15 years 3 months ago
Regularity, Boosting, and Efficiently Simulating Every High-Entropy Distribution
Luca Trevisan, Madhur Tulsiani, Salil P. Vadhan