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DIS
2006
Springer
15 years 8 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
AMAST
2008
Springer
15 years 6 months ago
System Demonstration of Spiral: Generator for High-Performance Linear Transform Libraries
We demonstrate Spiral, a domain-specific library generation system. Spiral generates high performance source code for linear transforms (such as the discrete Fourier transform and ...
Yevgen Voronenko, Franz Franchetti, Fréd&ea...
NIPS
2007
15 years 5 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
AUTOMATICA
2008
75views more  AUTOMATICA 2008»
15 years 4 months ago
Probabilistic performance of state estimation across a lossy network
We consider a discrete time state estimation problem over a packet-based network. In each discrete time step, a measurement packet is sent across a lossy network to an estimator u...
Michael Epstein, Ling Shi, Abhishek Tiwari, Richar...
AUTOMATICA
2008
124views more  AUTOMATICA 2008»
15 years 4 months ago
Lyapunov conditions for input-to-state stability of impulsive systems
This paper introduces appropriate concepts of input-to-state stability (ISS) and integral-ISS for impulsive systems, i.e., dynamical systems that evolve according to ordinary diff...
João Pedro Hespanha, Daniel Liberzon, Andre...