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» Desires, Norms and Constraints
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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 6 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
ICCSA
2003
Springer
15 years 11 months ago
Optimization in the Context of Active Control of Sound
A problem of eliminating the unwanted time-harmonic noise on a predetermined region of interest is solved by active means, i.e., by introducing the additional sources of sound, cal...
Josip Loncaric, Semyon Tsynkov
COLT
2001
Springer
15 years 10 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer
ER
1995
Springer
152views Database» more  ER 1995»
15 years 9 months ago
A Logic Framework for a Semantics of Object-Oriented Data Modeling
We describe a (meta) formalism for defining a variety of (object oriented) data models in a unified framework based on a variation of first-order logic. As specific example we use...
Olga De Troyer, Robert Meersman
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 8 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye