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» Modeling task experience in user assistance systems
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CVPR
1999
IEEE
16 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
WWW
2003
ACM
16 years 7 months ago
SHOCK: communicating with computational messages and automatic private profiles
A computationally enhanced message contains some embedded programmatic components that are interpreted and executed automatically upon receipt. Unlike ordinary text email or insta...
Rajan M. Lukose, Eytan Adar, Joshua R. Tyler, Caes...
DAI
1995
Springer
15 years 10 months ago
A Formal View of Social Dependence Networks
In response to the problems that have arisen regarding the terminology and concepts of agent-oriented systems, previous work has described a formal framework for understanding agen...
Mark d'Inverno, Michael Luck
JSW
2006
98views more  JSW 2006»
15 years 6 months ago
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Gianluigi Folino, Agostino Forestiero, Giandomenic...
WWW
2011
ACM
15 years 1 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