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Lowd, Daniel - Department of Computer and Information Science, University of Oregon
Pedro Domingos University of Washington
Using Salience to Segment Desktop Activity into Projects Daniel Lowd
Supplementary Material for Approximate Inference by Compilation to
Just Add Weights: Markov Logic for the Semantic Web
Learning Markov Network Structure with Decision Trees Daniel Lowd and Jesse Davis
Challenges and Solutions for Synthesis of Knowledge Regarding Collaborative Filtering Daniel Lowd
A linear cost function is of the form: a(x) = i ai |xi -xi
http://foo.org/bar/ W W W. D O C
Adversarial Learning Daniel Lowd
Mean Field Inference in Dependency Networks: An Empirical Study Daniel Lowd and Arash Shamaei
Learning Arithmetic Circuits Daniel Lowd and Pedro Domingos
Good Word Attacks on Statistical Spam Filters Daniel Lowd
Recursive Random Fields Daniel Lowd LOWD@CS.WASHINGTON.EDU
Markov Logic Pedro Domingos1
Efficient Weight Learning for Markov Logic Networks
