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145
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CORR
2010
Springer
195views Education» more  CORR 2010»
15 years 3 months ago
Dynamic management of transactions in distributed real-time processing system
Managing the transactions in real time distributed computing system is not easy, as it has heterogeneously networked computers to solve a single problem. If a transaction runs acr...
Y. Jayanta Singh, Yumnam Somananda Singh, Ashok Ga...
132
Voted
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 3 months 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
137
Voted
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 1 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ICCV
2001
IEEE
16 years 5 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
102
Voted
HPCA
2007
IEEE
16 years 3 months ago
Implications of Device Timing Variability on Full Chip Timing
As process technologies continue to scale, the magnitude of within-die device parameter variations is expected to increase and may lead to significant timing variability. This pap...
Murali Annavaram, Ed Grochowski, Paul Reed