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» A distributed machine learning framework
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ICCV
2007
IEEE
16 years 2 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ATAL
2008
Springer
15 years 2 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
JMLR
2002
138views more  JMLR 2002»
15 years 13 days ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
CRIWG
2004
15 years 2 months ago
A Decoupled Architecture for Action-Oriented Coordination and Awareness Management in CSCL/W Frameworks
This paper introduces AORTA, a software architecture that provides object-level coordination and shared workspace awareness support to synchronous and distributed collaborative app...
Pablo Orozco, Juan I. Asensio-Pérez, Pedro ...
ETS
2002
IEEE
150views Hardware» more  ETS 2002»
15 years 17 days ago
Assessing group learning and shared understanding in technology-mediated interaction
Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
Ingrid Mulder, Janine Swaak, Joseph Kessels