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» The changing science of machine learning
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Lab
652views
15 years 8 months ago
Electronic Enterprises Laboratory
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...

Book
412views
15 years 8 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
ICML
2008
IEEE
14 years 9 months ago
A dual coordinate descent method for large-scale linear SVM
In many applications, data appear with a huge number of instances as well as features. Linear Support Vector Machines (SVM) is one of the most popular tools to deal with such larg...
Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sat...
NPL
2008
130views more  NPL 2008»
13 years 9 months ago
Adaptive Inverse Control of Excitation System with Actuator Uncertainty
: - This paper addresses an inverse controller design for excitation system with changing parameters and nonsmooth nonlinearities in the actuator. The existence of such nonlinearit...
Xiaofang Yuan, Yaonan Wang, Liang-Hong Wu
ITICSE
2003
ACM
14 years 2 months ago
Structuring CSed research studies: connecting the pieces
Changing conditions for teaching increase our motivation to understand the teaching and learning process. First time investigators of educational settings often feel uncertain abo...
Arnold Neville Pears, Mats Daniels