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» Learning for Dynamic Subsumption
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ICANN
2010
Springer
15 years 15 days ago
Dynamic Shape Learning and Forgetting
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
CVPR
2007
IEEE
16 years 4 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
NIPS
2007
15 years 3 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ATAL
2007
Springer
15 years 8 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
COMPUTING
2011
14 years 9 months ago
Private cloud for collaboration and e-Learning services: from IaaS to SaaS
Abstract The idea behind Cloud Computing is to deliver Infrastructure-, Platformand Software-as-a-Service (IaaS, PaaS and SaaS) over the Internet on an easy payper-use business mod...
Frank Dölitzscher, Anthony Sulistio, Christop...