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142
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NN
2010
Springer
187views Neural Networks» more  NN 2010»
14 years 9 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
132
Voted
SOUPS
2010
ACM
15 years 6 months ago
Parenting from the pocket: value tensions and technical directions for secure and private parent-teen mobile safety
An increasing number of high-tech devices, such as driver monitoring systems and Internet usage monitoring tools, are advertised as useful or even necessary for good parenting of ...
Alexei Czeskis, Ivayla Dermendjieva, Hussein Yapit...
ESEM
2007
ACM
15 years 6 months ago
Value-Based Empirical Research Plan Evaluation
Empirical studies are crucial to gain evidence on the effects of software engineering methods and tools in defined contexts. However, empirical studies can be costly and thus need...
Stefan Biffl, Dietmar Winkler
111
Voted
CAD
1998
Springer
15 years 2 months ago
Applying ECA-Rules in DB-based Design Environments
The goal of this paper is to bring together the worlds of design and active databases. Design databases have to provide a powerful data model for complex structured design data as ...
Joachim Reinert, Norbert Ritter
121
Voted
WOSS
2004
ACM
15 years 8 months ago
Design of self-managing dependable systems with UML and fault tolerance patterns
The development of dependable software systems is a costly undertaking. Fault tolerance techniques as well as self-repair capabilities usually result in additional system complexi...
Matthias Tichy, Daniela Schilling, Holger Giese