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NIPS
1998
13 years 9 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
ICASSP
2011
IEEE
12 years 11 months ago
A comparative analysis of dynamic network decoding
The use of statically compiled search networks for ASR systems using huge vocabularies and complex language models often becomes challenging in terms of memory requirements. Dynam...
David Rybach, Ralf Schlüter, Hermann Ney
ENTCS
2010
97views more  ENTCS 2010»
13 years 5 months ago
A Framework for Modelling and Simulating Networks of Cells
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Sara Montagna, Mirko Viroli
HUC
2010
Springer
13 years 9 months ago
Bridging the gap between physical location and online social networks
This paper examines the location traces of 489 users of a location sharing social network for relationships between the users' mobility patterns and structural properties of ...
Justin Cranshaw, Eran Toch, Jason I. Hong, Aniket ...
WCNC
2008
IEEE
14 years 2 months ago
Integrated Source-Channel Decoding for Correlated Data-Gathering Sensor Networks
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
Sheryl L. Howard, Paul G. Flikkema