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AAAI
2008
15 years 23 hour 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...
WWW
2011
ACM
14 years 4 months ago
Exploiting session-like behaviors in tag prediction
In social bookmarking systems, existing methods in tag prediction have shown that the performance of prediction can be significantly improved by modeling users’ preferences. Ho...
Dawei Yin, Liangjie Hong, Brian D. Davison
AAAI
2006
14 years 11 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
IFIP12
2009
14 years 7 months ago
A Hybrid Approach for Improving Prediction Coverage of Collaborative Filtering
In this paper we present a hybrid filtering algorithm that attempts to deal with low prediction Coverage, a problem especially present in sparse datasets. We focus on Item HyCoV, a...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
PERVASIVE
2006
Springer
14 years 9 months ago
Modeling Human Behavior from Simple Sensors in the Home
Pervasive sensors in the home have a variety of applications including energy minimization, activity monitoring for elders, and tutors for household tasks such as cooking. Many of ...
Ryan Aipperspach, Elliot Cohen, John F. Canny