Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principal component analysis and classical metric multidimensional scaling suffer from being based on linear models. Until recently, very few methods were able to reduce the data dimensionality in a nonlinear way. However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also called manifold learning, has become a hot topic. New advances that account for this rapid growth are, e.g. the use of graphs...
Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principa...
Fuzzy Logic is a computational paradigm capable of modelling the own uncertainness of human beings. Fuzzy reasoning is nothing else than a Fuzzy Logic-based formalism for encoding human knowledge or common sense in a numerical framework. Indeed, the mathematical concepts on which Fuzzy Logic is supported are very easy to understand. In a Fuzzy Controller, human experience is codified by means of linguistic if-then rules, which compute control actions upon given conditions. Fuzzy Logic has been applied to problems that are difficult to solve mathematically. One of its main advantages lies...
Fuzzy Logic is a computational paradigm capable of modelling the own uncertainness of human beings. Fuzzy reasoning is nothing else than a Fuzzy Lo...
Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principal component analysis and classical metric multidimensional scaling suffer from being based on linear models. Until recently, very few methods were able to reduce the data dimensionality in a nonlinear way. However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also called manifold learning, has become a hot topic. New advances that account for this rapid growth are, e.g. the use of graphs...
Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principa...
Fuzzy logic is a computational paradigm capable of modelling the own uncertainness of human beings. This wide-ranging book focuses in-depth on the VLSI CMOS implementation and application of programmable analogue Fuzzy Logic Controllers following a mixed-signal philosophy.
Fuzzy logic is a computational paradigm capable of modelling the own uncertainness of human beings. This wide-ranging book focuses in-depth on the ...
