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AAAI
2010
13 years 8 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
TODAES
2002
134views more  TODAES 2002»
13 years 7 months ago
False-noise analysis using logic implications
ct Cross-coupled noise analysis has become a critical concern in today's VLSI designs. Typically, noise analysis makes an assumption that all aggressing nets can simultaneousl...
Alexey Glebov, Sergey Gavrilov, David Blaauw, Vlad...
ASUNAM
2009
IEEE
14 years 2 months ago
Dynamics of Inter-Meeting Time in Human Contact Networks
—We envision new communication paradigms, using physical dynamic interconnectedness among people. Delay Tolerant Networks (DTNs) are a new communication paradigm to support such ...
Eiko Yoneki, Dan Greenfield, Jon Crowcroft
AAAI
2004
13 years 8 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
SIAMCOMP
2012
11 years 9 months ago
An Optimal Dynamic Data Structure for Stabbing-Semigroup Queries
Let S be a set of n intervals in R, and let (S, +) be any commutative semigroup. We assign a weight ω(s) ∈ S to each interval in S. For a point x ∈ R, let S(x) ⊆ S be the se...
Pankaj K. Agarwal, Lars Arge, Haim Kaplan, Eyal Mo...