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» Approximate Learning of Dynamic Models
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EXPERT
2010
145views more  EXPERT 2010»
15 years 3 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
ICIW
2008
IEEE
16 years 24 days ago
Web Contents Tracking by Learning of Page Grammars
A significant fraction of Web data is available only for short periods of time. We consider methods to keep track and to record such dynamic information automatically. The main p...
Dirk Kukulenz, Christoph Reinke, Nils Hoeller
191
Voted
CATA
2003
15 years 7 months ago
A Restaurant Finder using Belief-Desire-Intention Agent Model and Java Technology
It is becoming more important to design systems capable of performing high-level management and control tasks in interactive dynamic environments. At the same time, it is difficul...
Dongqing Lin, Thomas P. Wiggen, Chang-Hyun Jo
ICML
2005
IEEE
16 years 7 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
ESANN
2007
15 years 7 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...