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CORR
2010
Springer
101views Education» more  CORR 2010»
14 years 6 months ago
Binary is Good: A Binary Inference Framework for Primary User Separation in Cognitive Radio Networks
Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in t...
Huy Anh Nguyen, Rong Zheng, Zhu Han
ICML
2004
IEEE
15 years 10 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
COORDINATION
2008
Springer
14 years 11 months ago
How to Infer Finite Session Types in a Calculus of Services and Sessions
Abstract. The notion of session is fundamental in service oriented applications, as it separates interactions between different instances of the same service, and it groups togethe...
Leonardo Gaetano Mezzina
NAACL
2007
14 years 11 months ago
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...
IJON
2010
109views more  IJON 2010»
14 years 4 months ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney