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» Modeling When Connections Are the Problem
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NIPS
2003
15 years 3 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
ICASSP
2011
IEEE
14 years 5 months ago
Directions-of-arrival estimation using a sparse spatial spectrum model with uncertainty
This paper is concerned with the estimation of the directionsof-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. Wh...
Jimeng Zheng, Mostafa Kaveh
ASIACRYPT
2000
Springer
15 years 6 months ago
A Note on Security Proofs in the Generic Model
A discrete-logarithm algorithm is called generic if it does not exploit the specific representation of the cyclic group for which it is supposed to compute discrete logarithms. Su...
Marc Fischlin
IJCAI
1989
15 years 3 months ago
Logic Programming with General Clauses and Defaults Based on Model Elimination
The foundations of a class of logic programming systems with the expressive power of full first-order logic and a non-monotonic component is addressed. The underlying refutation m...
Marco A. Casanova, Ramiro A. de T. Guerreiro, Andr...
ICML
2005
IEEE
16 years 2 months ago
Fast inference and learning in large-state-space HMMs
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
Sajid M. Siddiqi, Andrew W. Moore