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» Learning Behavior Models for Hybrid Timed Systems
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AICOM
2002
103views more  AICOM 2002»
15 years 4 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
ANSS
2000
IEEE
15 years 8 months ago
Flow Control and Dynamic Load Balancing in Time Warp
We present, in this paper, an algorithm which integrates flow control and dynamic load balancing in Time Warp. The algorithm is intended for use in a distributed memory environme...
Myongsu Choe, Carl Tropper
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 6 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
ATAL
2008
Springer
15 years 6 months ago
RIAACT: a robust approach to adjustable autonomy for human-multiagent teams
When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
Nathan Schurr, Janusz Marecki, Milind Tambe
ADC
2006
Springer
156views Database» more  ADC 2006»
15 years 10 months ago
A new approach to intelligent text filtering based on novelty detection
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
Randa Kassab, Jean-Charles Lamirel