Sampling methods

Sampling Methods for Ilp

This paper is concerned with problems that arise when submitting large quantities of data to analysis by an Inductive Logic Programming (ILP) system. Complexity arguments usually make it prohibitive to analyse such datasets in their entirety. We examine two schemes that allow an ILP system to construct theories by sampling from this large pool of data. The rst, \subsampling", is a single-sample...

Burials: Dietary Sampling Methods

Methods for aeroallergen sampling.

Air sampling provides information about the bioaerosol composition of the atmosphere. Principal methods of volumetric sample collection include impaction, impingement, and filtration. Many instruments have been developed based on these collection methods. The most widely used devices are slit impactors, rotating arm impactors, and sieve impactors. Samples can be analyzed by various methods, wit...

Transition Path Sampling Methods

Transition path sampling, based on a statistical mechanics in trajectory space, is a set of computational methods for the simulation of rare events in complex systems. In these lecture notes we give an overview of these techniques and describe their statistical mechanical basis as well as their application.

Sampling Techniques for Kernel Methods

We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding in evaluating the kernel expansions, and random projections in evaluating the kernel itself. In all three cases, we give sharp bounds on the accuracy of the obtained approximations. Rather intriguingly, all three tech...