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ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 5 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
CORR
2007
Springer
112views Education» more  CORR 2007»
14 years 11 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
ECML
2007
Springer
15 years 6 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
15 years 6 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 6 months ago
A design solution to the problem of adaptive output regulation for nonlinear minimum-phase systems
We propose a solution to the problem of adaptive output regulation for nonlinear minimum-phase systems that does not rely upon conventional adaptation schemes to estimate the frequ...
Alberto Isidori, Lorenzo Marconi, Laurent Praly