An introduction to support vector machines : and other kernel-based learning methods by Cristianini, Nello. Publication date 2000 Topics Support vector machines, Kernel functions Publisher Cambridge ; ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

Support Vector Machine (SVM) is one of technique that can solve classification problem well. In fact, SVM is a linear classifier, it's mean that this algorithm can only be used to classify linear ...

Lost circulation events during drilling operations are known for their abruptness and are difficult to control. Traditional diagnostic methods rely on qualitative indicators, such as mud pit volume ...

We evaluated support vector machines (SVM) as a virtual screening tool for searching Abl inhibitors from large compound libraries. SVM trained and tested by 708 inhibitors and 65 494 putative ...

Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile and highly precise solution for ...