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JMLR
2010
189views more  JMLR 2010»
13 years 4 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 11 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
IWSEC
2010
Springer
13 years 7 months ago
Security Metrics and Security Investment Models
Abstract. Planning information security investment is somewhere between art and science. This paper reviews and compares existing scientific approaches and discusses the relation ...
Rainer Böhme
ICCV
2011
IEEE
12 years 9 months ago
Blurring-Invariant Riemannian Metrics for Comparing Signals and Images
We propose a novel Riemannian framework for comparing signals and images in a manner that is invariant to their levels of blur. This framework uses a log-Fourier representation of...
Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pava...
ISSTA
1998
ACM
14 years 1 months ago
Computation of Interprocedural Control Dependence
Program dependence information is useful for a variety of software testing and maintenance tasks. Properly defined, control and data dependencies can be used to identify semantic...
Mary Jean Harrold, Gregg Rothermel, Saurabh Sinha