Results 11 to 20 of about 554,174 (252)

Maximum kernel likelihood estimation [PDF]

, 2008
We introduce an estimator for the population mean based on maximizing likelihoods formed by parameterizing a kernel density estimate. Due to these origins, we have dubbed the estimator the maximum kernel likelihood estimate (mkle). A speedy computational
Jaki, Thomas, West, R. Webster
core   +4 more sources

Genome-wide association analysis reveals a novel QTL CsPC1 for pericarp color in cucumber

BMC Genomics, 2022
Background Cucumber is an important melon crop in the world, with different pericarp colors. However, the candidate genes and the underlying genetic mechanism for such an important trait in cucumber are unknown.
Hongyu Huang, Qinqin Yang, Lidong Zhang, Weiliang Kong, Huizhe Wang, Aimin Wei, Shengli Du, Ruihuan Yang, Jiawang Li, Tao Lin, Xiaolin Geng, Yuhe Li   +11 more
doaj   +1 more source

A hybrid approach to multimodal biometric recognition based on feature-level fusion of face, two irises, and both thumbprints

Journal of Medical Signals and Sensors, 2022
Background: The most significant motivations for designing multi-biometric systems are high-accuracy recognition, high-security assurances as well as overcoming the limitations like non-universality, noisy sensor data, and large intra-user variations ...
Mohammad H Safavipour, Mohammad A Doostari, Hamed Sadjedi   +2 more
doaj   +1 more source

Effects of Different Pre-drying and Drying Methods on Volatile Compounds in the Pericarp and Kernel of Amomum tsao-ko

Frontiers in Plant Science, 2022
The effects of twelve different pre-drying and drying methods on the chemical composition in the pericarp and kernel of Amomum tsao-ko were studied. The volatile components were isolated from the samples by simultaneous distillation and extraction and ...
Hui-wei Qin, Hui-wei Qin, Tian-mei Yang, Shao-bing Yang, Mei-quan Yang, Yuan-zhong Wang, Jin-yu Zhang, Jin-yu Zhang   +7 more
doaj   +1 more source

kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets

Frontiers in Microbiology, 2021
The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation.
Elies Ramon, Lluís Belanche-Muñoz, Francesc Molist, Raquel Quintanilla, Miguel Perez-Enciso, Miguel Perez-Enciso, Yuliaxis Ramayo-Caldas   +6 more
doaj   +1 more source

(Meta) Kernelization [PDF]

Journal of the ACM, 2009
In a parameterized problem, every instance I comes with a positive integer k . The problem is said to admit a polynomial kernel if, in polynomial time, one can reduce the size of the instance I to a polynomial in k while preserving the answer ...
Hans L. Bodlaender, Fedor V. Fomin, Daniel Lokshtanov, Eelko Penninkx, Saket Saurabh 0001, Dimitrios M. Thilikos   +5 more
openaire   +8 more sources

Assessment of Fatty Acid Composition, Bioactive Compounds, and Mineral Composition in Hazelnut Genetic Resources: Implications for Nutritional Value and Breeding Programs

Horticulturae, 2023
This study was carried out to determine the fatty acid composition, bioactive compounds, and mineral element content of standard hazelnut cultivars and accessions from the Eastern Black Sea region.
Mehmet Yaman, Mehmet Fikret Balta, Orhan Karakaya, Tuncay Kaya, Tomas Necas, Ercan Yildiz, Emine Dirim   +6 more
doaj   +1 more source

Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions

J. Mach. Learn. Res., 2016
Old and longer version of the JMLR paper with same title (published 2018). Please start with the JMLR version. 55 pages (33 pages main text, 22 pages appendix), 2 tables, 1 figure (in appendix)
Simon-Gabriel, C., Schölkopf, B.
openaire   +5 more sources

Comparing the Robustness of Statistical Estimators of Proficiency Testing Schemes for a Limited Number of Participants

Computation, 2022
This study aims at developing models in analyzing the results of proficiency testing (PT) schemes for a limited number of participants. The models can determine the best estimators of location and dispersion using unsatisfactory results as a criterion by
Dimitris Tsamatsoulis
doaj   +1 more source

Hierarchical Kernel and Sub-kernels [PDF]

American Review of Mathematics and Statistics, 2017
This paper shows the theoretical development of hierarchy by kernels and an algorithm used to obtain an interesting class or partition from a hierarchy. Also shown is the theorem about the Kernels Optimal Criterion and how it is expressed as a function of the masses of the points of the vector space and product scale points, the inertia of the cloud ...
openaire   +2 more sources