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» Models of active learning in group-structured state spaces
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ESANN
2000
14 years 11 months ago
Nonsynaptically connected neural nets
Neural nets are generally considered to be connected synaptically. However, the majority of information transfer in the brain may not be by synapses. Nonsynaptic diffusion neurotra...
Gaetano Liborio Aiello, Paul Bach-y-Rita
AAAI
2007
14 years 12 months ago
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
CVPR
2009
IEEE
16 years 4 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
ICANN
2003
Springer
15 years 2 months ago
Dimensionality Reduction through Sensory-Motor Coordination
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
I. René J. A. te Boekhorst, Max Lungarella,...
FORTE
2008
14 years 11 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee