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» Learning to Optimize Plan Execution in Information Agents
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AAAI
2008
13 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
ECAI
2004
Springer
14 years 26 days ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
ESWA
2008
169views more  ESWA 2008»
13 years 7 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
MDBIS
2004
149views Database» more  MDBIS 2004»
13 years 8 months ago
Enhanced User Support for Mobile Ad-hoc-Processes
: In ubiquitous application scenarios, the information (processing) needs of nomadic users often cannot be satisfied by a set of pre-installed processes like in common workflow sys...
Klaus Haller, Michelle Ackermann, Claudio Munari, ...
AAAI
2007
13 years 9 months ago
Kernel Regression with Order Preferences
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
Xiaojin Zhu, Andrew B. Goldberg