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» Learning Behavior Models for Hybrid Timed Systems
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AAAI
1996
15 years 4 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
DALT
2009
Springer
15 years 6 months ago
Ontology and Time Evolution of Obligations and Prohibitions Using Semantic Web Technology
The specification and monitoring of conditional obligations and prohibitions with starting points and deadlines is a crucial aspect in the design of open interaction systems. In th...
Nicoletta Fornara, Marco Colombetti
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 5 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
ICCV
2007
IEEE
15 years 5 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
161
Voted
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 1 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani