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» Uncertain Clustering: Models, Methods and Applications
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 10 days ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
EUSFLAT
2001
108views Fuzzy Logic» more  EUSFLAT 2001»
15 years 1 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
Alexander Gegov
APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 1 months ago
THEMATICS is Effective for Active Site Prediction in Comparative Model Structures
THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-establi...
Ihsan A. Shehadi, Alper Uzun, Leonel F. Murga, Val...
AIME
2007
Springer
15 years 6 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
ML
2006
ACM
14 years 11 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...