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BIRTHDAY
2003
Springer
16 years 2 days ago
Towards a Brain Compatible Theory of Syntax Based on Local Testability
Chomsky’s theory of syntax came after criticism of probabilistic associative models of word order in sentences. Immediate constituent structures are plausible but their descripti...
Stefano Crespi-Reghizzi, Valentino Braitenberg
AAAI
2006
15 years 8 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
BMCBI
2010
229views more  BMCBI 2010»
15 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CORR
2000
Springer
116views Education» more  CORR 2000»
15 years 6 months ago
Algorithmic Statistics
While Kolmogorov complexity is the accepted absolute measure of information content of an individual finite object, a similarly absolute notion is needed for the relation between a...
Péter Gács, John Tromp, Paul M. B. V...
ICML
2006
IEEE
16 years 7 months ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty