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» Introduction to Machine Learning
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139
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IDA
2000
Springer
15 years 6 months ago
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
Ivan Bruha
ICMLA
2009
15 years 4 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
176
Voted
AIRS
2010
Springer
15 years 3 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 6 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
185
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ICANN
2001
Springer
15 years 11 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc