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BMCBI
2010
229views more  BMCBI 2010»
13 years 11 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ECAL
2007
Springer
14 years 5 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
IEEEPACT
2009
IEEE
14 years 5 months ago
Interprocedural Load Elimination for Dynamic Optimization of Parallel Programs
Abstract—Load elimination is a classical compiler transformation that is increasing in importance for multi-core and many-core architectures. The effect of the transformation is ...
Rajkishore Barik, Vivek Sarkar
DATE
2000
IEEE
140views Hardware» more  DATE 2000»
14 years 3 months ago
Resolution of Dynamic Memory Allocation and Pointers for the Behavioral Synthesis from C
-- One of the greatest challenges in C/C++-based design methodology is to efficiently map C/C++ models into hardware. Many of the networking and multimedia applications implemente...
Luc Séméria, Koichi Sato, Giovanni D...
PLDI
2005
ACM
14 years 4 months ago
Pin: building customized program analysis tools with dynamic instrumentation
Robust and powerful software instrumentation tools are essential for program analysis tasks such as profiling, performance evaluation, and bug detection. To meet this need, we ha...
Chi-Keung Luk, Robert S. Cohn, Robert Muth, Harish...