Just-in-time semi-supervised soft sensor for quality prediction in industrial rubber mixers

Semi-Supervised Learning Literature Survey

Xiaojin Zhu · Minds at UW (University of Wisconsin) · 2005 · 3.9K citations · Full text

Computing, Computer Science, Data Mining +11

Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

Gene H. Golub, Michael T. Heath, Grace Wahba · Technometrics · 1979 · 3.8K citations

Computing, Biostatistics, Data Science +11

Data-driven Soft Sensors in the process industry

Petr Kadlec, Bogdan Gabryś, Sibylle Strandt · Computers & Chemical Engineering · 2009 · 1.8K citations · Full text

Engineering, Chemical Engineering, Manufacturing Engineering +14

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

Guang-Bin Huang · Cognitive Computation · 2014 · 962 citations

Computing, Computer Science, Artificial Intelligence +11

Science and technology of rubber

Choice Reviews Online · 1995 · 962 citations

Natural Sciences, Materials Engineering, Materials Science +10