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NIPS
1998
15 years 2 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
85
Voted
IAAI
1993
15 years 2 months ago
Dodger, a Diagnostic Expert System for the Evaluation of Nondestructive Test Data
Identification and characterization of indications in eddy current (ET) signals can be highly subjective in nature, with varying diagnoses made by different analysts or by a singl...
Arthur J. Levy, Jane E. Oppenlander, David M. Brud...
98
Voted
UAI
1996
15 years 2 months ago
Critical Remarks on Single Link Search in Learning Belief Networks
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
Yang Xiang, S. K. Michael Wong, Nick Cercone
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 1 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
101
Voted
ADHOC
2008
95views more  ADHOC 2008»
15 years 27 days ago
The polarized gossip protocol for path discovery in MANETs
In this paper we present a novel probabilistic protocol for path discovery in Mobile Ad Hoc Networks (MANETs). The protocol implements what we call a polarized gossiping algorithm...
Roberto Beraldi