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UAI
2008
15 years 5 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
NIPS
2004
15 years 5 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan
IPPS
1997
IEEE
15 years 8 months ago
d-Dimensional Range Search on Multicomputers
The range tree is a fundamental data structure for multidimensional point sets, and as such, is central in a wide range of geometric anddatabaseapplications. Inthis paper, we desc...
Afonso Ferreira, Claire Kenyon, Andrew Rau-Chaplin...
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 6 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
CMG
2001
15 years 5 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski