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» Convex optimization for the design of learning machines
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GLOBECOM
2009
IEEE
13 years 11 months ago
Exploring Simulated Annealing and Graphical Models for Optimization in Cognitive Wireless Networks
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
Elena Meshkova, Janne Riihijärvi, Andreas Ach...
TVLSI
2010
13 years 2 months ago
Discrete Buffer and Wire Sizing for Link-Based Non-Tree Clock Networks
Clock network is a vulnerable victim of variations as well as a main power consumer in many integrated circuits. Recently, link-based non-tree clock network attracts people's...
Rupak Samanta, Jiang Hu, Peng Li
ECML
2006
Springer
13 years 11 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...
ATAL
2011
Springer
12 years 7 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
ICASSP
2011
IEEE
12 years 11 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo