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» Learning Behavior Models for Hybrid Timed Systems
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AAAI
1996
15 years 2 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
120
Voted
DALT
2009
Springer
15 years 4 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
133
Voted
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 2 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 2 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
130
Voted
NN
2010
Springer
225views Neural Networks» more  NN 2010»
14 years 11 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