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95
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KCAP
2009
ACM
15 years 9 months ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
127
Voted
ECTEL
2007
Springer
15 years 8 months ago
Mobile Social Software with Context Awareness and Data Uncertainty for Technology-Enhanced Learning
Mobile computing technologies and social software have given new challenges to technology-enhanced learning. Simple e-learning system personalization, adaptation and authoring beco...
Yiwei Cao
CCS
2008
ACM
15 years 4 months ago
Open problems in the security of learning
Machine learning has become a valuable tool for detecting and preventing malicious activity. However, as more applications employ machine learning techniques in adversarial decisi...
Marco Barreno, Peter L. Bartlett, Fuching Jack Chi...
113
Voted
AAI
1998
101views more  AAI 1998»
15 years 2 months ago
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server
In the past few years, Multiagent Systems (MAS) has emerged as an active subfield of Artificial Intelligence (AI). Because of the inherent complexity of MAS, there is much inter...
Peter Stone, Manuela M. Veloso
160
Voted
CVPR
2009
IEEE
16 years 9 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...