Sampling and 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.

Bipartite Graph Sampling Methods for Sampling Recommendation Data

Sampling is the common practice involved in academic and industry efforts on recommendation algorithm evaluation and selection. Experimental analysis often uses a subset of the entire useritem interaction data available in the operational recommender system, often derived by including all transactions associated with a subset of uniformly randomly selected users. Our paper formally studies the ...