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ICML
1994
IEEE
15 years 9 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
15 years 9 months ago
The hybrid intelligent control for the fused magnesia production
—The electro-fused magnesia furnace is one of the main equipments used to produce electro-fused magnesia which is high performance refractory. Due to the multivariable, strong no...
Yongjian Wu, Zhiwei Wu, Bin Dong, Li Zhang, Tianyo...
CVPR
2009
IEEE
15 years 9 months ago
Nonlinear Nonnegative Component Analysis
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
Stefanos Zafeiriou, Maria Petrou
DEBS
2010
ACM
15 years 8 months ago
Complex event processing synergies with predictive analytics
For Complex Event Processing (CEP), the synergy with Predictive Analytics (PA) is a promising research direction. In this paper we focus on the inclusion of PA technologies into C...
Gabriella Toth, Lajos Jeno Fülöp, L&aacu...
VISSYM
2007
15 years 8 months ago
Grouse: Feature-Based, Steerable Graph Hierarchy Exploration
Grouse is a feature-based approach to steerable exploration of a graph and an associated hierarchy. Steerability allows exploration to begin immediately, rather than requiring a c...
Daniel Archambault, Tamara Munzner, David Auber