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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 4 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
NECO
2002
104views more  NECO 2002»
13 years 10 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
JMLR
2010
105views more  JMLR 2010»
13 years 5 months ago
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparse...
Ji Won Yoon, Simon P. Wilson, K. Hun Mok
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
14 years 4 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
SPIN
2000
Springer
14 years 1 months ago
The Temporal Rover and the ATG Rover
The Temporal Rover is a specification based verification tool for applications written in C, C++, Java, Verilog and VHDL. The tool combines formal specification, using Linear-Time ...
Doron Drusinsky