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archive4d
An introduction to support vector machines : and other kernel-based learning methods
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
C&EN10d
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 ...
IEEE11d
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&EN15d
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 ...
IEEE16d
Music Genre Classification Algorithm Based on Dynamic Frame Analysis and Support Vector Machine
Abstract: This paper proposes a new music genre classification algorithm based on dynamic music frame analysis and support vector machine (SVM). The dynamic music frame analysis could cover the ...
Frontiers21d
Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms
The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic ... ① stepper motors, ② rotor flow meter, ③ horizontal support beam, ④ ...
Frontiers25d
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 ...