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DATAMINE
2006
127views more  DATAMINE 2006»
15 years 6 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
16 years 1 months ago
A Radar for the Internet
In contrast with most internet topology measurement research, our concern here is not to obtain a map as complete and precise as possible of the whole internet. Instead, we claim ...
Matthieu Latapy, Clémence Magnien, Fr&eacut...
184
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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
16 years 1 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
16 years 27 days ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
16 years 14 days ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott