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» Predicting Opponent Actions by Observation
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AI
2006
Springer
13 years 9 months ago
A Smart Home Agent for Plan Recognition
Assistance to people suffering from cognitive deficiencies in a smart home raises complex issues. Plan recognition is one of them. We propose a formal framework for the recognition...
Bruno Bouchard, Sylvain Giroux, Abdenour Bouzouane
AIR
2002
65views more  AIR 2002»
13 years 7 months ago
User Modeling for Personalized City Tours
Several current support systems for travel and tourism are aimed at providing information in a personalized manner, taking users' interests and preferences into account. In t...
Josef Fink, Alfred Kobsa
HCI
2009
13 years 5 months ago
Estimating Productivity: Composite Operators for Keystroke Level Modeling
Task time is a measure of productivity in an interface. Keystroke Level Modeling (KLM) can predict experienced user task time to within 10 to 30% of actual times. One of the bigges...
Jeff Sauro
ALT
2005
Springer
14 years 4 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
AAAI
2008
13 years 10 months ago
Proactive Intrusion Detection
Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...