In recent years a class of learning algorithms namely kernel methods has been successfully applied to various tasks in computational biology. In this article we present an overview of kernel methods and support vector machines and focus on their applications to biological sequences. We also describe...
Journal 2019, Computational Biology and ChemistryNisar Wani, Khalid Raza Chapter Nonlinear Models of Glucose Concentration 6.3.1 Basic Concepts of Kernel-Based Regression Models A key feature of kernel methods is the ability to solve a nonlinear regression problem in the input space X as a linear ...
Kernel Methods in Computational Biology. MIT Press, 2004. [36] J. Schott. Dimensionality reduction in quadratic discriminant analysis . Computa- tional Statistics and Data Analysis, 66:161–174, 1993. [37] J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis. Cambridge ...
In Kernel Methods in Computational Biology. Edited by: Schölkopf, Tsuda, Vert . MIT Press; 2004. Google Scholar Kuang R, Ie E, Wang K, Wang K, Siddiqi M, Freund Y, Leslie C: Profile-based string kernels for remote homology detection and motif extraction. J Bioinform Comput Biol 2005...
Kashima, H., Tsuda, K., Inokuchi, A.: Kernels for graphs. Kernel Methods in Computational Biology 39(1), 101–113 (2004) Google Scholar Mahé, P., Ueda, N., Akutsu, T., Perret, J.-L., Vert, J.-P.: Extensions of marginalized graph kernels. In: Proceedings of the Twenty-First...
Based on recent results from classical machine learning, we prove that linear quantum models must utilize exponentially more qubits than data re-uploading models in order to solve certain learning tasks, while kernel methods additionally require exponentially more data points. Our results provide a ...
Ewald summation techniques in perspective: a survey The computational efficiency of these new methods facilitates longer, larger and more realistic simulations.doi:10.1016/0010-4655(96)00016-1Abdulnour Y. To... AY Toukmaji,JA Board - 《Computer Physics Communications》 被引量: 492发表: 1996年 ...
Computational methods for the prioritization of candidate genes can help to cope with these problems. In particular, kernel-based methods are a powerful resource for the integration of heterogeneous biological knowledge, however, their practical implementation is often precluded by their limited scalability...
Breast cancer is one of the common kinds of cancer among women, and it ranks second among all cancers in terms of incidence, after lung cancer. Therefore, it is of great necessity to study the detection methods of breast cancer. Recent research has focus
computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current ...