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» Observational Learning with Modular Networks
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ISDA
2006
IEEE
14 years 1 months ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 2 months ago
Observational learning in an uncertain world
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
AUSAI
2006
Springer
13 years 11 months ago
Modular Bayesian Networks for Inferring Landmarks on Mobile Daily Life
Abstract. Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized service...
Keum-Sung Hwang, Sung-Bae Cho
CSB
2005
IEEE
180views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Functional Modularity in a Large-Scale Mammalian Molecular Interaction Network
The Ingenuity™ Pathways Knowledge Base (IPKB) contains over one million findings manually curated from the scientific literature. Highly-structured content from the IPKB forms...
Andreas Kramer, Daniel R. Richards, James O. Bowlb...
BIBE
2006
IEEE
160views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Methods for Random Modularization of Biological Networks
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
Zachary M. Saul, Vladimir Filkov