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COLT
2003
Springer
15 years 12 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
CIE
2006
Springer
15 years 10 months ago
Lower Bounds Using Kolmogorov Complexity
Abstract. In this paper, we survey a few recent applications of Kolmogorov complexity to lower bounds in several models of computation. We consider KI complexity of Boolean functio...
Sophie Laplante
JMLR
2006
131views more  JMLR 2006»
15 years 6 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
MP
2006
87views more  MP 2006»
15 years 6 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
AUTOMATICA
2002
79views more  AUTOMATICA 2002»
15 years 6 months ago
Robust performance assessment of feedback control systems
Abstract. The proper measure of closed-loop performance variation in the presence of modelplant mismatch is discussed in this paper. A generalized closed-loop error transfer functi...
Sheng Wan, Biao Huang