Results 11 to 20 of about 244,916 (294)
Physics-Guided Descriptors Enable Data-Efficient Prediction of Battery Coulombic Efficiency. [PDF]
Adv Sci (Weinh)This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Sun Q +9 more
europepmc +2 more sources
MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
core +7 more sources
Parallelizing support vector machines for scalable image annotation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core +7 more sources
Total Stability of SVMs and Localized SVMs
CoRR, 2021 30 pages, 1 ...
Hannes Köhler, Andreas Christmann
openaire +4 more sources
Geometric SVM: a fast and intuitive SVM algorithm [PDF]
Object recognition supported by user interaction for service robots, 2003 We present a geometrically motivated algorithm for finding the Support Vectors of a given set of points. This algorithm is reminiscent of the DirectSVM algorithm, in the way it picks data points for inclusion in the Support Vector set, but it uses an optimization based approach to add them to the Support Vector set.
Vishwanathan, SVN, Murty, Narasimha M
openaire +3 more sources
BMC Bioinformatics, 2007 Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being considered in a number of different ways.An SVM-based clustering algorithm is introduced that clusters data with no a priori knowledge of input classes.
Stephen Winters-Hilt, Sam Merat
openaire +3 more sources
Three combination value of extraction features on GLCM for detecting pothole and asphalt road
Jurnal Teknologi dan Sistem Komputer, 2021 The rate of vehicle accidents in various regions is still high accidents caused by many factors, such as driver negligence, vehicle damage, and road damage. However, transportation technology developed very rapidly, for example, a smart car.
Yoke Kusuma Arbawa +2 more
doaj +1 more source
, 2022 This paper presents a model to train an ensemble of SVMs that achieves better generalization performance at a lower computational training cost than a single SVM. The idea of the proposed model is, instead of training a single SVM on the whole dataset, to train a diverse set of simpler SVMs.
David Nevado +2 more
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Purification of Mycobacterium leprae RNA for gene expression analysis from leprosy biopsy specimens
BioTechniques, 2003 Gene expression analysis in Mycobacterium leprae, an obligate intracellular pathogen and the etiologic agent of leprosy, has been hampered by the lack of an efficient method to purify RNA from leprosy lesions.
Diana L. Williams +3 more
doaj +1 more source
Comparing the Performance of Data Mining Algorithms in Predicting Sentiments on Twitter
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 On Twitter, users can post tweets, videos, and images. It can, however, also be disruptive and difficult. To categorize the material and improve searchability, hashtags are crucial.
Rusydi Umar +2 more
doaj +1 more source