Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the number of training examples. In cases where classical sampling algorithms require polynomial tim...

In this paper, a denoising algorithm and simulation experiments of algorithm based on wavelet transform and support vector machine (SVM) image is proposed, a new method is adopted in the selection of characteristic vector of support vector machine, based on training of support vector machine, the support vector machine model is used to distinguish between noise and the original image, to achiev...

there are more than 350 million individuals with hepatitis c in the world. one of the important problems in vaccine project is development of effective and suitable adjuvant in human vaccines. at present research we applied human βhsp90 protein as an adjuvant in recombinant hcv vaccine design. the thermal vector of pgp1-2 was used for human heat shock protein 90 expression. this protein injecte...

Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized linear and non-linear binary classifier, can be implemented on a quantum computer, with exponential speedups in the size of the vectors and the number of training examples. At the core of the algorithm is a non-sparse ma...

The prominent modeling technique for speech recognition today is the hidden Markov model with Gaussian emission densities. They have suffered, though, from an inability to learn discriminative information and are prone to overfitting and overparameterization. Recent work on machine learning has moved toward models such as the support vector machine that automatically control generalization and ...

Big data technology has gained attention in all fields, particularly with regard to research and financial institutions. This changed the world tremendously. Researchers scientists are currently working on its applicability different domains such as health care, medicine, stock market, among others. The being generated at an unexpected pace from multiple sources like social media, care contexts...

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...