Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Mathematics
• Mathematical analysis
• Hilbert space
• Topology
• Probability theory
• Model theory
• Graphical models
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Embedding
• Belief propagation
• Kalman filter

Optimal Rates for the Random Fourier Feature Method∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle problems ex

Source URL: www.gatsby.ucl.ac.uk

Rearchitecting System Software for the Cloud Muli Ben-Yehuda Technion 1

Source URL: www.mulix.org

• Operating system kernels
• Exokernel
• Kernel
• Virtualization
• Protection ring
• Virtual machine
• Hypervisor
• Cloud computing
• Network virtualization
• Operating system
• Device driver
• System virtual machine

Scalable Read-mostly Synchronization Using Passive Reader-Writer Locks Ran Liu ‡ † , Heng Zhang †, Haibo Chen † ‡Software School, Fudan University †Institute of Parallel and Distributed Systems, Shanghai Jiao

Source URL: ipads.se.sjtu.edu.cn

• Concurrency control
• Computer architecture
• Computing
• Software
• Readerswriter lock
• Non-blocking algorithm
• Memory barrier
• Synchronization
• Monitor
• File locking
• Kernel
• Linux kernel

Slice sampling normalized kernel-weighted completely random measure mixture models Sinead A. Williamson Department of Machine Learning Carnegie Mellon University

Source URL: nfoti.github.io

kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨

Source URL: mran.microsoft.com

• Machine learning
• Learning
• Statistics
• Statistical classification
• Nonparametric statistics
• Geostatistics
• Kernel method
• Multivariate statistics
• Support vector machine
• Radial basis function kernel
• Polynomial kernel
• Positive-definite kernel

JMLR: Workshop and Conference Proceedings vol 49:1–4, 2016 Open Problem: Kernel methods on manifolds and metric spaces What is the probability of a positive definite geodesic exponential kernel? Aasa Feragen

Source URL: www2.compute.dtu.dk

The Human Kernel Andrew Gordon Wilson CMU Christoph Dann CMU

Source URL: papers.nips.cc

Kernel Quiz (by default, x, x0 k(x, x0 ) = 1

Source URL: mlss.tuebingen.mpg.de

Diversification with Fisher Kernel Pseudo-Feedback Bogdan Boteanu, Ionut¸ Mironic˘a, Bogdan Ionescu, LAPI, University ”Politehnica” of Bucharest, Bucharest, Romania, Email: {bboteanu, imironica, bionescu}@al

Source URL: imag.pub.ro