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MVA
2007
15 years 8 months ago
Semi-supervised Incremental Learning of Manipulative Tasks
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
206
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SOFTVIS
2010
ACM
15 years 7 months ago
Towards anomaly comprehension: using structural compression to navigate profiling call-trees
Developers must often diagnose anomalies in programs they only have a partial knowledge of. As a result, they must simultaneously reverse engineer parts of the system they are unf...
Shen Lin 0003, François Taïani, Thomas...
HOTNETS
2010
15 years 1 months ago
A case for information-bound referencing
Links and content references form the foundation of the way that users interact today. Unfortunately, the links used today (URLs) are fragile since they tightly specify a protocol...
Ashok Anand, Aditya Akella, Vyas Sekar, Srinivasan...
UMUAI
1998
128views more  UMUAI 1998»
15 years 6 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb