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» A Machine Learning Approach for Statistical Software Testing
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CCGRID
2011
IEEE
14 years 1 months ago
Autonomic SLA-Driven Provisioning for Cloud Applications
Abstract—Significant achievements have been made for automated allocation of cloud resources. However, the performance of applications may be poor in peak load periods, unless t...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
SIGSOFT
2007
ACM
15 years 10 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 4 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
CSL
2010
Springer
14 years 9 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
NECO
2007
150views more  NECO 2007»
14 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir