Kernel methods in machine learning

First Page		Document Content
Date: 2008-07-14 12:36:36 Operator theory Hilbert space Linear algebra Signal processing Positive-definite kernel Reproducing kernel Hilbert space Kernel trick Fourier analysis Kernel principal component analysis Mathematics Mathematical analysis Algebra		Kernel methods in machine learning Add to Reading List Source URL: arxiv.org Download Document from Source Website File Size: 592,05 KB Share Document on Facebook

	IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 11, NOVEMBERManifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices DocID: 1tbxA - View Document
	Genome Informatics 13: 112–Marginalized Kernels for RNA Sequence Data Analysis Taishin Kin DocID: 1riZQ - View Document
	SOME TRANSFORMS IN FUNCTIONAL ANALYSIS VIPUL NAIK Abstract. This article describes some of the ideas and concerns that one needs to keep in mind when performing transforms in functional analysis. DocID: 1r5nj - View Document
	A Principled Kernel Testbed for Hardware/Software Co-Design Research Alex Kaiser, Samuel Williams, Kamesh Madduri, Khaled Ibrahim, David Bailey, James Demmel, Erich Strohmaier Computational Research Division Lawrence Ber DocID: 1qMcC - View Document
	Journal of Machine Learning Research1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur DocID: 1qM2R - View Document