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ASC
2007
13 years 8 months ago
An approximate stability analysis of nonlinear systems described by Universal Learning Networks
Stability is one of the most important subjects in control systems. As for the stability of nonlinear dynamical systems, Lyapunov’s direct method and linearized stability analys...
Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu H...
UAI
2008
13 years 10 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
DMIN
2009
144views Data Mining» more  DMIN 2009»
13 years 6 months ago
Fish or Shark - Data Mining Online Poker
In this paper, data mining techniques are used to analyze data gathered from online poker. The study focuses on short-handed Texas Hold'em, and the data sets used contain thou...
Ulf Johansson, Cecilia Sönströd
SODA
2012
ACM
177views Algorithms» more  SODA 2012»
11 years 11 months ago
Stochastic coalescence in logarithmic time
The following distributed coalescence protocol was introduced by Dahlia Malkhi in 2006 motivated by applications in social networking. Initially there are n agents wishing to coal...
Po-Shen Loh, Eyal Lubetzky
ADHOCNOW
2006
Springer
14 years 2 months ago
Performance Modeling of a Bottleneck Node in an IEEE 802.11 Ad-Hoc Network
This paper presents a performance analysis of wireless ad-hoc networks, with ieee 802.11 as the underlying wireless lan technology. wlan has, due to the fair radio resource sharin...
Hans van den Berg, Michel Mandjes, Frank Roijers