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AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
ISPASS
2007
IEEE
15 years 6 months ago
Modeling and Characterizing Power Variability in Multicore Architectures
Parameter variation due to manufacturing error will be an unavoidable consequence of technology scaling in future generations. The impact of random variation in physical factors s...
Ke Meng, Frank Huebbers, Russ Joseph, Yehea I. Ism...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 days ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
CIKM
2006
Springer
15 years 3 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
DGO
2006
148views Education» more  DGO 2006»
15 years 1 months ago
Automatically labeling hierarchical clusters
Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchi...
Pucktada Treeratpituk, Jamie Callan