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DATESO
2008
156views Database» more  DATESO 2008»
13 years 6 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...
CLA
2007
13 years 6 months ago
Formal Concepts as Optimal Factors in Boolean Factor Analysis: Implications and Experiments
Boolean factor analysis aims at decomposing an objects × attributes Boolean matrix I into a Boolean product of an objects × factors Boolean matrix A and a factors × attributes B...
Radim Belohlávek, Vilém Vychodil
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
11 years 7 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
TSP
2008
132views more  TSP 2008»
13 years 4 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
IPPS
2006
IEEE
13 years 11 months ago
Placement and routing of Boolean functions in constrained FPGAs using a distributed genetic algorithm and local search
In this work we present a system for implementing the placement and routing stages in the FPGA cycle of design, into the physical design stage. We start with the ISCAS benchmarks,...
Manuel Rubio del Solar, Juan Manuel Sánchez...