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ICML
1997
IEEE
16 years 7 months ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal
SIGSOFT
2007
ACM
16 years 7 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 ...
SIGSOFT
2006
ACM
16 years 7 months ago
Scenarios, goals, and state machines: a win-win partnership for model synthesis
Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
ISBI
2008
IEEE
16 years 7 months ago
Monte Carlo assessment of time-of-flight benefits on the LYSO-based discovery RX PET/CT scanner
Time-Of-Flight (TOF) positron emission tomography (PET) was studied and preliminarily developed in the 80s, but the lack of a scintillator able to deliver proper time resolution a...
Parham Geramifar, Mohammad Reza Ay, Mojtaba Shamsa...
ICDT
2009
ACM
150views Database» more  ICDT 2009»
16 years 7 months ago
Optimizing user views for workflows
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
Olivier Biton, Susan B. Davidson, Sanjeev Khanna, ...
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