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ECML
2005
Springer
13 years 10 months ago
On the LearnAbility of Abstraction Theories from Observations for Relational Learning
Stefano Ferilli, Teresa Maria Altomare Basile, Nic...
NIPS
2007
13 years 6 months ago
Learning and using relational theories
Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
INFORMATICALT
2010
134views more  INFORMATICALT 2010»
13 years 2 months ago
Observability of Turing Machines: A Refinement of the Theory of Computation
The Turing machine is one of the simple abstract computational devices that can be used to investigate the limits of computability. In this paper, they are considered from several ...
Yaroslav D. Sergeyev, Alfredo Garro
COLT
2008
Springer
13 years 6 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
ESOP
2011
Springer
12 years 8 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...