Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

Abstract: This paper proposes a new method to trace the transmission loss in deregulated power system by applying Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is ...

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 ...

Then, the neural network algorithm is used to solve the optimal solution of the kernel function parameters and regularization parameters of the support vector machine, forming a support vector machine ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

In the medical field, quantum machine learning algorithms can support the development and implementation of personalized healthcare plans by analyzing patients’ genetic information and clinical ...

NCoR1/RARα interaction was identified as a target for selective chaperone-mediated autophagy (CMA) inhibition in lung cancer.

A proteomics-driven 24-protein classifier improves the differentiation of thyroid adenoma and carcinoma, retrospectively and ...