Results 61 to 70 of about 1,003,291 (283)

Mixed Integer Linear Programming for Feature Selection in Support Vector Machine [PDF]

, 2018
This work focuses on support vector machine (SVM) with feature selection. A MILP formulation is proposed for the problem. The choice of suitable features to construct the separating hyperplanes has been modelled in this formulation by including a budget ...
Labbé, Martine, Martínez-Merino, Luisa I., Rodríguez-Chía, Antonio M.   +2 more
core   +4 more sources

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Prediction of Chongqing's grain output based on support vector machine

Frontiers in Sustainable Food Systems, 2023
Scientific prediction of agricultural food production plays an essential role in stabilizing food supply. In order to improve the accuracy of grain yield prediction and reduce the error of grain yield prediction in Chongqing, this paper proposes a new ...
Jia Wang, Guixian Tian, Yongchao Tao, Chengwu Lu   +3 more
doaj   +1 more source

Automatic detection of welding defects using the convolutional neural network [PDF]

, 2019
Quality control of welded joints is an important step before commissioning of various types of metal structures. The main obstacles to the commissioning of such facilities are the areas where the welded joint deviates from acceptable defective standards.
Altman, Chu, Gonzalez, Hou, Kasban, Kasban, Kingma, Kountchev, Krizhevsky, Lim, Russakovsky, Scholkopf, Sizyakin, Young   +13 more
core   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

On Using a Support Vector Machine in Learning Feed-Forward Control [PDF]

, 2001
For mechatronic motion systems, the performance increases significantly if, besides feedback control, also feed-forward control is used. This feed-forward part should contain the (stable part of the) inverse of the plant.
Kruif, Bas J. de, Vries, Theo J.A. de
core   +4 more sources

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions

Mathematics
The kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du, Bingchun Jiang, Jiabin Lu, Jingyu Hua, M. N. S. Swamy   +4 more
doaj   +1 more source

TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE

Tạp chí Khoa học Đại học Đà Lạt, 2019
The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These
Lê Thị Minh Nguyện
doaj   +1 more source

Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions

, 2013
In this paper we solve support vector machines in reproducing kernel Banach spaces with reproducing kernels defined on nonsymmetric domains instead of the traditional methods in reproducing kernel Hilbert spaces.
Adams, Alpaydin, Berlinet, Buhmann, Ekeland, Erickson, Erickson, Fasshauer, Fasshauer, Fasshauer, Fasshauer, Fred J. Hickernell, Giles, Gregory E. Fasshauer, Hörmander, James, Lumer, Megginson, Micchelli, Micchelli, Qi Ye, Song, Song, Sriperumbudur, Stein, Stein, Steinwart, Wahba, Wendland, Ye, Ye, Zhang, Zhang   +32 more
core   +1 more source