نتایج جستجو برای: decision tree dt
تعداد نتایج: 509240 فیلتر نتایج به سال:
This paper introduces our recently designed 9/7– 10/8 dual-tree complex filter bank and studies its application in moving object detection and segmentation. The dual-tree complex wavelet transform (DT-CWT) is used in edge detection required for segmentation in video frames. The DT-CWT approach is compared with the previous methods based on scalar wavelets and multi-wavelets (MW), using double c...
Abstract Introduction: Decision tree is the data mining tools to collect, accurate prediction and sift information from massive amounts of data that are used widely in the field of computational biology and bioinformatics. In bioinformatics can be predict on diseases, including breast cancer. The use of genomic data including single nucleotide polymorphisms is a very important ...
In the study of cryptography in NC, it was previously known that Goldreich’s candidate pseudorandom generator (PRG) is insecure when instantiated with a predicate P in 4 or fewer variables, if one wants to achieve polynomial stretch (that is, stretching n bits to n bits for some constant > 0). The current standard candidate predicate for this setting is the “tri-sumand” predicate TSA(x) = XOR3⊕...
Design Thinking (DT), a human-centered approach to innovation, is regarded as a system of overlapping spaces of viability, desirability and feasibility. Innovation increases when these three perspectives are addressed. This position paper proposes DT methods and tools to foster innovation in a multidisciplinary team by facilitating decision-making processes. We discuss how DT methods and tools ...
The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...
Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...
Hypertension is a critical public health concern worldwide. Identification of risk factors using traditional multivariable models has been a field of active research. The present study was undertaken to identify risk patterns associated with hypertension incidence using data mining methods in a cohort of Iranian adult population.Data on 6205 participants (44% men) age > 20 years, free from hype...
In this paper, another strategy for immediate features based image recovery is proposed. Image database is developed with low level texture features got from Gray Level Co-Occurrence Matrix (GLCM) and measurable techniques for Tamura. Semantic level inquiries from the user mapped to the low level peculiarities at recovery time to recover the required images. Images with more than one moderate f...
Fusion of Non-Destructive Test (NDT) data results in more accurate estimation concrete strength when compared to any single NDT data. Estimation from assumes importance for health assessment and evaluation existing buildings, particularly those near the end their design life. Application machine learning tools response surface method has found popularity recent years this purpose. In study, uni...
We show that the pairs {T, DT } where T is a tree and DT its dual are the only maximal antichains of size 2 in the category of directed graphs endowed with its natural homomorphism ordering.
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