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STOC
2009
ACM
136views Algorithms» more  STOC 2009»
16 years 5 months ago
Random walks on polytopes and an affine interior point method for linear programming
Let K be a polytope in Rn defined by m linear inequalities. We give a new Markov Chain algorithm to draw a nearly uniform sample from K. The underlying Markov Chain is the first t...
Ravi Kannan, Hariharan Narayanan
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
16 years 5 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 5 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 5 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
MM
2009
ACM
160views Multimedia» more  MM 2009»
15 years 11 months ago
On statistical multiplexing of variable-bit-rate video streams in mobile systems
We consider the problem of broadcasting multiple variable-bit-rate (VBR) video streams from a base station to many mobile devices over a wireless network, so that: (i) perceived q...
Cheng-Hsin Hsu, Mohamed Hefeeda