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CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
CASES
2003
ACM
14 years 16 days ago
A hierarchical approach for energy efficient application design using heterogeneous embedded systems
Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application ...
Sumit Mohanty, Viktor K. Prasanna
MIDDLEWARE
2005
Springer
14 years 2 months ago
Middleware for protocol-based coordination in dynamic networks
Pervasive and ad hoc computing applications are frequently deployed in dynamic networks. Due to mobility of the computing nodes, their unreliability, or a limited communication ra...
Kurt Schelfthout, Danny Weyns, Tom Holvoet
JCNS
2010
103views more  JCNS 2010»
13 years 3 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
ICCS
2007
Springer
14 years 3 months ago
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations
Abstract. This paper reviews recent developments in our project that are focused on dynamic data-driven methods for efficient and reliable simulation based optimization, which may...
Tahsin M. Kurç, Xi Zhang, Manish Parashar, ...