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111
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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
15 years 10 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
HICSS
2000
IEEE
144views Biometrics» more  HICSS 2000»
15 years 8 months ago
Diffusion Follows Structure - A Network Model of the Software
By conducting simulations, we show that the structure of the personal networks significantly influences the diffusion processes in network effect markets like the software market....
Falk von Westarp, Oliver Wendt
144
Voted
ITS
2000
Springer
108views Multimedia» more  ITS 2000»
15 years 7 months ago
Is What You Write What You Get?: An Operational Model of Training Scenario
To meet the needs for large-scale, high-quality learning contents, needless to say, we have to sharpen authoring tools. Authoring process can be roughly divided into two phases, a ...
Yusuke Hayashi, Mitsuru Ikeda, Kazuhisa Seta, Osam...
119
Voted
DAC
2011
ACM
14 years 3 months ago
Enabling system-level modeling of variation-induced faults in networks-on-chips
Process Variation (PV) is increasingly threatening the reliability of Networks-on-Chips. Thus, various resilient router designs have been recently proposed and evaluated. However,...
Konstantinos Aisopos, Chia-Hsin Owen Chen, Li-Shiu...
120
Voted
ICANN
2005
Springer
15 years 9 months ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Jochen Triesch