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» Learning decision trees from dynamic data streams
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IFIP12
2008
13 years 9 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
AGENTS
2001
Springer
14 years 1 days ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe
APIN
1998
107views more  APIN 1998»
13 years 7 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock
CASES
2006
ACM
13 years 11 months ago
Improving the performance and power efficiency of shared helpers in CMPs
Technology scaling trends have forced designers to consider alternatives to deeply pipelining aggressive cores with large amounts of performance accelerating hardware. One alterna...
Anahita Shayesteh, Glenn Reinman, Norman P. Jouppi...
CIDM
2007
IEEE
14 years 1 months ago
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems
–The OBSERVER is a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept. The system acquires color images from a ...
Duarte Duque, Henrique Santos, Paulo Cortez