Sciweavers

171 search results - page 6 / 35
» Detecting Execution Failures Using Learned Action Models
Sort
View
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
14 years 15 days ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
ICRA
2008
IEEE
210views Robotics» more  ICRA 2008»
14 years 1 months ago
Toward designing a robot that learns actions from parental demonstrations
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
Yukie Nagai, Claudia Muhl, Katharina J. Rohlfing
AADEBUG
1997
Springer
13 years 11 months ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
ICC
2007
IEEE
141views Communications» more  ICC 2007»
14 years 1 months ago
A Hybrid Model to Detect Malicious Executables
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...
Mohammad M. Masud, Latifur Khan, Bhavani M. Thurai...
ICST
2009
IEEE
14 years 1 months ago
A Model Building Process for Identifying Actionable Static Analysis Alerts
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static ana...
Sarah Smith Heckman, Laurie A. Williams