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99
Voted
ISLPED
2009
ACM
154views Hardware» more  ISLPED 2009»
15 years 5 months ago
Experimental analysis of sequence dependence on energy saving for error tolerant image processing
We present experimental analysis to exploit the sequence dependence on energy saving in error tolerant image processing. Our analysis shows that the error distributions depend not...
Se Hun Kim, Saibal Mukhopadhyay, Wayne Wolf
105
Voted
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 8 days ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 4 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
107
Voted
AH
2008
Springer
15 years 7 months ago
Learner Modelling in Exploratory Learning for Mathematical Generalisation
Exploratory learning supports creative thinking, allowing learners to control their own learning process, whilst it provides them with help and guidance when necessary. This pedago...
Mihaela Cocea
133
Voted
QEST
2005
IEEE
15 years 6 months ago
Fluid Flow Approximation of PEPA models
In this paper we present a novel performance analysis technique for large-scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of ...
Jane Hillston