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154
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AAAI
2012
13 years 5 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
126
Voted
ENTCS
2008
128views more  ENTCS 2008»
15 years 2 months ago
Towards Formalizing Categorical Models of Type Theory in Type Theory
This note is about work in progress on the topic of "internal type theory" where we investigate the internal formalization of the categorical metatheory of constructive ...
Alexandre Buisse, Peter Dybjer
121
Voted
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 10 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...
111
Voted
ACL
2008
15 years 4 months ago
Inferring Activity Time in News through Event Modeling
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
Vladimir Eidelman
114
Voted
AAAI
2010
15 years 4 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...