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226
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
174
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
120
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
168
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BPM
2009
Springer
15 years 5 months ago
2009
Springer
Nowadays, all kinds of information systems store detailed information in logs. Examples of such systems include classical workflow management systems (Staffware), ERP systems (SAP)...
153
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RSEISP
2007
Springer
15 years 11 months ago
2007
Springer
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...