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QI
2009
Springer
117views Physics» more  QI 2009»
15 years 7 months ago
Generalising Unitary Time Evolution
In this third Quantum Interaction (QI) meeting it is time to examine our failures. One of the weakest elements of QI as a field, arises in its continuing lack of models displaying...
Kirsty Kitto, Peter Bruza, Laurianne Sitbon
103
Voted
POPL
1995
ACM
15 years 4 months ago
Default Timed Concurrent Constraint Programming
d Abstract) We extend the model of [VRV94] to express strong time-outs (and pre-emption): if an event A does not happen through time t, cause event B to happen at time t. Such con...
Vijay A. Saraswat, Radha Jagadeesan, Vineet Gupta
99
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 25 days ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
INFOCOM
2011
IEEE
14 years 4 months ago
Timely data delivery in a realistic bus network
Abstract—WiFi-enabled buses and stops may form the backbone of a metropolitan delay tolerant network, that exploits nearby communications, temporary storage at stops, and predict...
Utku Acer, Paolo Giaccone, David Hay, Giovanni Neg...
107
Voted
IJAR
2002
102views more  IJAR 2002»
15 years 14 days ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...