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ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 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»
13 years 8 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
14 years 2 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»
14 years 3 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»
13 years 3 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