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NIPS
1998
13 years 9 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
CIKM
2010
Springer
13 years 6 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
DAC
2009
ACM
14 years 9 months ago
Generating test programs to cover pipeline interactions
Functional validation of a processor design through execution of a suite of test programs is common industrial practice. In this paper, we develop a high-level architectural speci...
Thanh Nga Dang, Abhik Roychoudhury, Tulika Mitra, ...
UML
2000
Springer
14 years 1 days ago
Using UML Collaboration Diagrams for Static Checking and Test Generation
Software testing can only be formalized and quanti ed when a solid basis for test generation can be de ned. Tests are commonly generated from program source code, graphical models ...
Aynur Abdurazik, A. Jefferson Offutt
SIGSOFT
2003
ACM
14 years 9 months ago
A strategy for efficiently verifying requirements
This paper describes a compositional proof strategy for verifying properties of requirements specifications. The proof strategy, which may be applied using either a model checker ...
Ralph D. Jeffords, Constance L. Heitmeyer