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» Performance optimization under rise and fall parameters
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NIPS
1998
13 years 7 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
14 years 6 months ago
Automated SQL tuning through trial and (sometimes) error
SQL tuning--the attempt to improve a poorly-performing execution plan produced by the database query optimizer-is a critical aspect of database performance tuning. Ironically, as ...
Herodotos Herodotou, Shivnath Babu
SIAMIS
2011
13 years 27 days ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
HPCA
2009
IEEE
14 years 6 months ago
Design and evaluation of a hierarchical on-chip interconnect for next-generation CMPs
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...
COMSWARE
2007
IEEE
14 years 9 days ago
Leveraging MAC-layer information for single-hop wireless transport in the Cache and Forward Architecture of the Future Internet
— Cache and Forward (CNF) Architecture is a novel architecture aimed at delivering content efficiently to potentially large number of intermittently connected mobile hosts. It us...
Sumathi Gopal, Sanjoy Paul, Dipankar Raychaudhuri