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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 6 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
SCAM
2008
IEEE
16 years 25 days ago
Modular Decompilation of Low-Level Code by Partial Evaluation
Decompiling low-level code to a high-level intermediate representation facilitates the development of analyzers, model checkers, etc. which reason about properties of the low-leve...
Miguel Gómez-Zamalloa, Elvira Albert, Germ&...
EPIA
2007
Springer
16 years 19 days ago
Towards Tractable Local Closed World Reasoning for the Semantic Web
Recently, the logics of minimal knowledge and negation as failure MKNF [12] was used to introduce hybrid MKNF knowledge bases [14], a powerful formalism for combining open and clos...
Matthias Knorr, José Júlio Alferes, ...
INFOCOM
2002
IEEE
15 years 11 months ago
TCP Network Calculus: The case of large delay-bandwidth product
Abstract— We present in this paper an analytical model for the calculation of network load and drop probabilities in a TCP/IP network with general topology. First we formulate ou...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
COLT
1999
Springer
15 years 10 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma