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CSDA
2006
84views more  CSDA 2006»
13 years 7 months ago
Robust weighted LAD regression
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
Avi Giloni, Jeffrey S. Simonoff, Bhaskar Sengupta
ICPR
2008
IEEE
14 years 2 months ago
Locality preserving multi-nominal logistic regression
In this paper, we propose a novel algorithm of multi-nominal logistic regression in which the locality regularization term is introduced. The locality is defined by the neighborho...
Kenji Watanabe, Takio Kurita
GRC
2008
IEEE
13 years 8 months ago
Adaptive and Iterative Least Squares Support Vector Regression based on Quadratic Renyi Entropy
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...
Jingqing Jiang, Chuyi Song, Haiyan Zhao, Chunguo W...
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
14 years 19 days ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 7 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev