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SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 8 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
16 years 7 months ago
Querying Multi-dimensional Data Indexed Using the Hilbert Space-filling Curve
Mapping to one-dimensional values and then using a onedimensional indexing method has been proposed as a way of indexing multi-dimensional data. Most previous related work uses th...
Jonathan K. Lawder, Peter J. H. King
ICANN
2005
Springer
16 years 15 days ago
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...
Marc Strickert, Stefan Teichmann, Nese Sreenivasul...
WLP
2004
Springer
16 years 10 days ago
Deductive and Inductive Reasoning on Spatio-Temporal Data
Abstract. We present a framework for a declarative approach to spatiotemporal reasoning on geographical data, based on the constraint logical language STACLP, which offers deducti...
Mirco Nanni, Alessandra Raffaetà, Chiara Re...
ESANN
2006
15 years 8 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski