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STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 11 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
FUN
2010
Springer
230views Algorithms» more  FUN 2010»
15 years 10 months ago
Scheduling with Bully Selfish Jobs
In job scheduling with precedence constraints, i j means that job j cannot start being processed before job i is completed. In this paper we consider selfish bully jobs who do no...
Tami Tamir
ICASSP
2010
IEEE
15 years 7 months ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao
GLOBECOM
2007
IEEE
15 years 7 months ago
Multi-Class QoS in 802.11 Networks Using Gentle Decrease of Multiple Contention Windows
—IEEE 802.11 Distributed Coordination Function (DCF) uses a binary exponential backoff algorithm to arbitrate simultaneous channel access by multiple stations. When a station sen...
Bushra Anjum, Zartash Afzal Uzmi
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 7 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer