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» Spatially embedded dynamics and complexity
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WETICE
2003
IEEE
14 years 26 days ago
Developing Adaptive and Context-aware Applications in Dynamic Networks
Suitable programming models and associated supporting infrastructures are required to deal with large software systems dived in complex and dynamic network environments. Here, wit...
Marco Mamei, Franco Zambonelli, Letizia Leonardi
ICDCSW
2003
IEEE
14 years 27 days ago
Tuples On The Air: A Middleware for Context-Aware Computing in Dynamic Networks
We present TOTA (“Tuples On The Air”), a novel middleware for supporting adaptive context-aware activities in dynamic network scenarios. The key idea in TOTA is to rely on spa...
Marco Mamei, Franco Zambonelli, Letizia Leonardi
AAAI
2011
12 years 7 months ago
Policy Gradient Planning for Environmental Decision Making with Existing Simulators
In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
Mark Crowley, David Poole
IICAI
2007
13 years 9 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
14 years 1 months ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri