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ICPR
2006
IEEE
16 years 8 months ago
Linear model combining by optimizing the Area under the ROC curve
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
David M. J. Tax, Robert P. W. Duin
ICML
2008
IEEE
16 years 7 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
ICML
2009
IEEE
16 years 1 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider
EVOW
2009
Springer
16 years 1 months ago
Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming
A developmental co-evolutionary genetic programming approach (PAM DGP) is compared to a standard linear genetic programming (LGP) implementation for trading of stocks across market...
Garnett Carl Wilson, Wolfgang Banzhaf
ISCAS
2007
IEEE
90views Hardware» more  ISCAS 2007»
16 years 1 months ago
Synthesis of Wideband Linear-Phase FIR Filters with a Piecewise-Polynomial-Sinusoidal Impulse Response
— A method is presented to synthesize wideband linear-phase FIR filters with a piecewise-polynomial-sinusoidal impulse response. The proposed method is based on merging the earl...
Raija Lehto, Tapio Saramäki, Olli Vainio