The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it lacks a firm theoretica...
Stephen D. Hawley, Les E. Atlas, Howard J. Chizeck
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Searching for interesting patterns in binary matrices plays an important role in data mining and, in particular, in formal concept analysis and related disciplines. Several algorit...
The problem of storage or transmission of codevectors is an essential issue in vector quantization with custom codebook. The proposed technique for compression of codebooks relies ...
In this paper we show how quantitative program logic [14] provides a formal framework in which to promote standard techniques of program analysis to a context where probability and...