Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Nick J. Pizzi"'
Autor:
Nick J. Pizzi, Witold Pedrycz
Publikováno v:
Advances in Fuzzy Systems, Vol 2012 (2012)
Although many classification techniques exist to analyze patterns possessing straightforward characteristics, they tend to fail when the ratio of features to patterns is very large. This “curse of dimensionality” is especially prevalent in many c
Externí odkaz:
https://doaj.org/article/e1c4036814784156a9656ba9eb5d16f0
Publikováno v:
IEEE Transactions on Cybernetics. 51:1902-1912
The study is concerned with a description of large numeric data with the aid of building a limited collection of representative information granules with the objective of capturing the structure of the original data. The proposed development scheme c
Publikováno v:
Expert Systems with Applications. 122:16-26
Record linkage is a typical two-class recognition problem in data mining. To improve its classification performance of the problem, this paper proposes to apply three-way classification to identify uncertain points (regions) for further clerical inve
Publikováno v:
Data & Knowledge Engineering. 112:106-129
The task of probabilistic record linkage is to find and link records that refer to the same entity across several disparate data sources. The accurate linking of records (entity resolution) is an important task for the healthcare industry, government
Publikováno v:
IEEE transactions on cybernetics. 51(7)
Rule-based models are applicable to model the behavior of complex and nonlinear systems. Due to limited experience and randomness involving constructing information granules, an insufficient credible rules division could reduce the model’s accuracy
Autor:
Nick J. Pizzi
Publikováno v:
Information Sciences. 241:1-11
With the increasing sophistication of today's software systems, it is often difficult to estimate the overall quality of underlying software components with respect to attributes such as complexity, utility, and extensibility. Many metrics exist in t
Autor:
Nick J. Pizzi, Witold Pedrycz
Publikováno v:
Pattern Recognition: From Classical to Modern Approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::662700baea2a7d701f24499a9919e073
https://doi.org/10.1142/9789813144552_0008
https://doi.org/10.1142/9789813144552_0008
Autor:
Nick J. Pizzi
Publikováno v:
Computational Intelligence and Quantitative Software Engineering ISBN: 9783319259628
Computational Intelligence and Quantitative Software Engineering
Computational Intelligence and Quantitative Software Engineering
The functional programming paradigm involves stateless computation on immutable data constructs. While this paradigm’s historical context dates back to the early twentieth century with lambda calculus and a formal study of computability and functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593f49e529ce044bbf7d2789bb602550
https://doi.org/10.1007/978-3-319-25964-2_6
https://doi.org/10.1007/978-3-319-25964-2_6
Autor:
Nick J. Pizzi
Publikováno v:
Theoretical Computer Science. 412(42):5909-5925
A fuzzy set based preprocessing method is described that may be used in the classification of patterns. This method, dispersion-adjusted fuzzy quartile encoding, determines the respective degrees to which a feature (attribute) belongs to a collection
Publikováno v:
Journal of Pattern Recognition Research. 6:19-31