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

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 ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

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 ...

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

In a joint project between the Zelinsky Institute of Organic Chemistry and Skoltech, a research group led by RAS Academician Valentin Ananikov has developed a unique machine-learning-based search ...

A new technical paper titled “Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution” was published by researchers at ETH Zurich, Università di ...

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 ...