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These approaches are estimating error prediction for multiple linear regression analysis, two improved variants of support vector machines (SVM), and backpropagation neural network.
In online videos, Hoque et al. developed an automated system to distinguish between naturally occurring spontaneous smiles under frustrating and delightful stimuli by exploring their temporal patterns given video of both, evaluated and compared two variants of Support Vector Machine (SVM), Hidden Markov Models (HMM), and Hidden-State Conditional Random Fields (HCRF) for binary classification.
The system incorporates learning techniques such as variants of support vector machines, neural networks, decision trees, self-organizing feature maps (SOFM) and recursive maximum contrast trees (RMCT).
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Support vector regression is a straightforward variant of support vector machine (SVM) classification [16].
In particular, they implement a variant of support vector machine (SVM) to reduce the computational cost.
The method is a variant of support vector machine that incorporates the biological specificities of DNA copy number variations along the genome as prior knowledge.
We require consistent, accurate and reliable annotation of variants to support the use of WGS in making diagnostic and treatment decisions.
Except [18, 36], which presented classifiers based on the Convolutional Neural Networks (CNN), most of the work cited above was presented as variants of the Support Vector Machine (SVM).
We used tagged SpoIIE for degradation experiments due to the fact that C-terminally tagged variants of SpoIIE support sporulation to levels indistinguishable from wild-type (these sporulation efficiency numbers are now included in Figure 4 source data 1), and YFP tagged SpoIIE is compartmentalized in the forespore.
Given the preclinical success of SAR302503 as a well-tolerated oral agent for the treatment of polycythemia vera and Myelofibrosis, its selectivity against tyrosine-kinase inhibitor (TKI) resistant variants of FLT3-ITD supporthethe clinical evaluation of SAR302503 in TKI-treated as well as TKI naive FLT3-ITD + AML patients.
Exchanges of conserved glycine residues of Lto1, for instance in the middle and C-terminal parts of the deca-GX3 motif, strongly affected its association with both Yae1 and the CIA targeting complex, thus explaining the strongly impaired efficiency of these Lto1 variants to support Fe-S cluster assembly on Rli1.
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