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» Bounds on marginal probability distributions
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STOC
1994
ACM
128views Algorithms» more  STOC 1994»
13 years 9 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, ...
ATAL
2008
Springer
13 years 7 months ago
Approximating power indices
Many multiagent domains where cooperation among agents is crucial to achieving a common goal can be modeled as coalitional games. However, in many of these domains, agents are une...
Yoram Bachrach, Evangelos Markakis, Ariel D. Proca...
SIROCCO
2008
13 years 6 months ago
Recovering the Long-Range Links in Augmented Graphs
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
Pierre Fraigniaud, Emmanuelle Lebhar, Zvi Lotker
CONEXT
2009
ACM
13 years 6 months ago
BUFFALO: bloom filter forwarding architecture for large organizations
In enterprise and data center networks, the scalability of the data plane becomes increasingly challenging as forwarding tables and link speeds grow. Simply building switches with...
Minlan Yu, Alex Fabrikant, Jennifer Rexford
CORR
2006
Springer
109views Education» more  CORR 2006»
13 years 5 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