Kernel-based Learning Algorithms Kernel-based Method Supervised Learning - ClassificationKernel, ReproducingSpaces, Hilbert
3. Algorithms for Learning Kernels 3.1. Convex Subset of PSD matrices 3.2. Linear Combination of a Set of Kernel Matrices 3.3. Linear Combination with Non-negative Parameters 4. 写在最后 我知道这是篇很老的paper了,而且现在大家可能更多focus在deep learning上面,但可以的话,我还是想听听机器学习领域做...
"Fast bounded online gradient descent algorithms for scalable kernel-based online learning." arXiv preprint arXiv:1206.4633 (2012).P. Zhao, J. Wang, P. Wu, R. Jin, and S. C. Hoi. Fast bounded online gradient descent algorithms for scalable kernel-based online learning. arXiv preprint ar...
This is the first book that treats the fields ofsupervised, semi-supervised and unsupervised machine learningin a unifying way. In particular,it is the first presentation of the standard and improved graph based semisupervised (manifold) algorithms in a textbook. The book presents both the theory ...
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully inte
In machine learning, the RBF kernel is a popular kernel function used in various kernelized learning algorithms. It is commonly used in SVM classification. Similarly, the string kernel, which operates on strings—finite sequences of symbols not necessarily of the same length—is also popular for ...
learners to obtain effective learning algorithms for classification and prediction. in this paper, we show a connection between boosting and kernel-based methods, highlighting both theoretical and practical applications. in the \(\ell _2\) context, we show that boosting with a weak learner defined...
Practical Kernel-Based Reinforcement Learning Kernel-based reinforcement learning (KBRL) stands out among reinforcementlearning algorithms for its strong theoretical guarantees. By casting thelearning ... AMS Barreto,D Precup,J Pineau - 《Computer Ence》 被引量: 7发表: 2014年 Improving Sepsis Treatment...
Multiple Kernel Learning (MKL) is a conventional way to learn the kernel function in kernel-based methods. MKL algorithms enhance the performance of kernel methods. However, these methods have a lower complexity compared to deep models and are inferior to them regarding recognition accuracy. Deep ...
Kernel Based Noise-Aware Machine Learning Algorithms 来自 ResearchGate 喜欢 0 阅读量: 47 作者:H Jair,E Balderas 摘要: Publication » Kernel Based Noise-Aware Machine Learning Algorithms.DOI: http://dx.doi.org/ 被引量: 4 年份: 2006 ...