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archive5d
An introduction to support vector machines : and other kernel-based learning methods
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C&EN11d
Virtual Screening of Selective Multitarget Kinase Inhibitors by Combinatorial Support Vector Machines
Efficient virtual screening (VS) tools for searching selective multitarget agents are desired. Combinatorial support vector machines (C-SVM) were tested as VS tools for searching dual-inhibitors of 11 ...
IEEE12d
Combining support vector machine learning with the discrete cosine transform in image compression
Abstract: We present an algorithm for the application of support vector machine (SVM) learning to image compression. The algorithm combines SVMs with the discrete cosine transform (DCT). Unlike a ...
C&EN16d
Lost Circulation Prediction Method Based on an Improved Fruit Fly Algorithm for Support Vector Machine Optimization
The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...
IEEE19d
Support vector machines, import vector machines and relevance vector machines for hyperspectral classification — A comparison
Abstract: Support Vector Machines (SVM) have gained increasing attention due to their classification accuracy, robustness and indifference towards the input data type. Thus, they are widely used in ...
Frontiers26d
Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features
Unlike the conventional methods which usually concatenate all features into one feature vector, we adopted a multiple-kernel support vector machine (MK-SVM ... using the 3D Row-Action ...