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ICML
2005
IEEE
14 years 10 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
ICML
2000
IEEE
14 years 10 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
ICML
1997
IEEE
14 years 10 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
ICSE
2008
IEEE-ACM
14 years 10 months ago
Answering conceptual queries with Ferret
Programmers seek to answer questions as they investigate the functioning of a software system, such as "which execution path is being taken in this case?" Programmers at...
Brian de Alwis, Gail C. Murphy
SIGSOFT
2007
ACM
14 years 10 months ago
Efficient token based clone detection with flexible tokenization
Code clones are similar code fragments that occur at multiple locations in a software system. Detection of code clones provides useful information for maintenance, reengineering, ...
Hamid Abdul Basit, Stan Jarzabek
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