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» Learning probabilistic models of the Web
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EMNLP
2011
14 years 5 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 5 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
SOCRATES
2008
124views Education» more  SOCRATES 2008»
15 years 7 months ago
A Web-based Learning Tool for applied Mathematics Disciplines
Recently, many efforts have been devoted to the implementation of web based learning tools, that have found widespread diffusion in high schools, graduate and undergraduate univer...
Francesco Giannino, Mario Rosario Guarracino, Vale...
SIGIR
2003
ACM
15 years 10 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
15 years 3 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou