Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

为解决核机器(Kernel Machines)训练效率低下的问题，研究人员创新性地将神经网络预训练(Pre-training)理念迁移至核方法领域，提出通过预训练模型推断不同超参数下的核机器模型。该方法理论证明推断模型与最优模型的差异有界，实验表明可节省一个数量级的训练 ...

The addition of heterogenous memory management to the Linux kernel will unlock new ways to speed up GPUs, and potentially other kinds of machine learning hardware It’s been a long time in the works, ...