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» Process modeling paradigms: an evaluation
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NIPS
1996
15 years 8 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
MICRO
2006
IEEE
159views Hardware» more  MICRO 2006»
15 years 7 months ago
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
SIGMOD
2008
ACM
161views Database» more  SIGMOD 2008»
16 years 7 months ago
Efficient pattern matching over event streams
Pattern matching over event streams is increasingly being employed in many areas including financial services, RFIDbased inventory management, click stream analysis, and electroni...
Jagrati Agrawal, Yanlei Diao, Daniel Gyllstrom, Ne...
ISBI
2006
IEEE
16 years 8 months ago
Validation and regularization in diffusion MRI tractography
We present a physical phantom designed for fibre tractography validation and use it to evaluate tracking algorithms that employ (a) the classic diffusion tensor model of diffusion...
Jennifer S. W. Campbell, Peter Savadjiev, Kaleem S...
ISPW
2009
IEEE
16 years 2 months ago
Software Product Quality: Ensuring a Common Goal
: Software qualities are in many cases tacit and hard to measure. Thus, there is a potential risk that they get lower priority than deadlines, cost and functionality. This paper pr...
Sebastian Barney, Claes Wohlin