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» Predicting Success in Dialogue
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105
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ACSC
2009
IEEE
15 years 5 months ago
HOPPER: a hierarchical planning agent for unpredictable domains
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been successfully applied to many complex, real-world domains. However, they are limited t...
Maciej Wojnar, Peter Andreae
ICSE
2009
IEEE-ACM
15 years 5 months ago
Using quantitative analysis to implement autonomic IT systems
The software underpinning today’s IT systems needs to adapt dynamically and predictably to rapid changes in system workload, environment and objectives. We describe a software f...
Radu Calinescu, Marta Z. Kwiatkowska
82
Voted
ICASSP
2009
IEEE
15 years 5 months ago
A low-complexity spectro-temporal based perceptual model
The use of psychoacoustical masking models for audio coding applications has been wide spread over the past decades. In such applications, it is typically assumed that the origina...
Cees Taal, Richard Heusdens
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
15 years 5 months ago
The curious robot - Structuring interactive robot learning
— If robots are to succeed in novel tasks, they must be able to learn from humans. To improve such humanrobot interaction, a system is presented that provides dialog structure an...
Ingo Lütkebohle, Julia Peltason, Lars Schilli...
85
Voted
SAT
2009
Springer
111views Hardware» more  SAT 2009»
15 years 5 months ago
Restart Strategy Selection Using Machine Learning Techniques
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...
Shai Haim, Toby Walsh