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SIGKDD
2010
128views more  SIGKDD 2010»
14 years 9 months ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
3DGIS
2006
Springer
15 years 8 months ago
Digital Terrain Models Derived from SRTM Data and Kriging
The objective of this work is to define procedures to improve spatial resolution of SRTM data and to evaluate their applicability in the Serra Negra region, in the district of Pat...
T. Bernardes, I. Gontijo, H. Andrade, T. G. C. Vie...
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 6 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
SSDBM
2006
IEEE
156views Database» more  SSDBM 2006»
15 years 8 months ago
On Data and Visualization Models for Signaling Pathways
Signaling pathways are chains of interacting proteins, through which the cell converts a (usually) extracellular signal into a biological response. The number of known signaling p...
Nattakarn Ratprasartporn, Ali Cakmak, Gultekin &Ou...
SADM
2010
141views more  SADM 2010»
14 years 9 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman