نتایج جستجو برای: support vector machines

تعداد نتایج: 859628  

Journal: :journal of computer and robotics 0
leila khalatbari department of computer engineering, faculty of electrical, it and computer science, qazvin branch, islamic azad university, qazvin, iran mohammad reza kangavari department of computer engineering, iran university of science and technology, tehran, iran

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

Journal: :journal of medical signals and sensors 0
fatemeh ghofrani mohammad sadegh helfroush mahmoud rashidpour kamran kazemi

in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...

Journal: :Journal of Hydroinformatics 2007

Journal: :Theoretical Computer Science 2021

We present an efficient coreset construction algorithm for large-scale Support Vector Machine (SVM) training in Big Data and streaming applications. A is a small, representative subset of the original data points such that model trained on provably competitive with set. Since size generally much smaller than set, our preprocess-then-train scheme has potential to lead significant speedups when S...

Journal: :Journal of Computational and Graphical Statistics 2022

Many problems in classification involve huge numbers of irrelevant features. Variable selection reveals the crucial features, reduces dimensionality feature space, and improves model interpretation. In support vector machine literature, variable is achieved by l1 penalties. These convex relaxations seriously bias parameter estimates toward 0 tend to admit too many The current article presents a...

Journal: :Communications for Statistical Applications and Methods 2012

Journal: :IEEE Transactions on Neural Networks 2005

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