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AAAI
2006
15 years 5 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
137
Voted
ICCAD
2009
IEEE
87views Hardware» more  ICCAD 2009»
15 years 1 months ago
Mitigation of intra-array SRAM variability using adaptive voltage architecture
SRAM cell design is driven by the need to satisfy static noise margin, write margin and read current margin (RCM) over all cells in the array in an energy-efficient manner. These ...
Ashish Kumar Singh, Ku He, Constantine Caramanis, ...
ICPR
2008
IEEE
16 years 5 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
ICML
2007
IEEE
16 years 5 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
137
Voted
COLT
2008
Springer
15 years 6 months ago
Linear Algorithms for Online Multitask Classification
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...