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» Practical Algorithms for Pattern Based Linear Regression
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DIS
2005
Springer
13 years 10 months ago
Practical Algorithms for Pattern Based Linear Regression
We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masa...
CSDA
2006
83views more  CSDA 2006»
13 years 4 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 5 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
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
13 years 10 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
IJCNN
2006
IEEE
13 years 10 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho