We describe our experiences in setting up a new Computer Science department in an established University within the UK. We drew upon our experiences in teaching Computing in Australia, the USA and the UK. We discuss cultural differences and constraints upon us in designing and teaching a BSc in Computer Science. We also relate teaching and culture bootstrap effects from having to start a whole ...

This report presents (1) the basic ideas of bootstrapping when applied to multiple linear regression, as described in [2, 3], and (2) how to implement these ideas using Arc, the computer package that accompanies [1].

A bootstrap large deviation result for the mean is shown to be a consequence of a classical large deviation result due to Sievers and later improved by Plachky and Steinebach. The result implies a level of asymptotic correctness for nonparametric bootstrapping of the maximum likelihood estimator in models having a discrete parameter space. The application of bootstrap methods in molecular evolu...

A algorithm for computing the PDF of order statistics drawn from discrete parent populations is presented, along with an implementation of the algorithm in a computer algebra system. Several examples and applications, including exact bootstrapping analysis, illustrate the utility of this algorithm. Bootstrapping procedures require that B bootstrap samples be generated in order to perform statis...

When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. This paper presents bootstrapping as an alternative approach to learning from large sets of labeled data. Instead of a large quantity of labeled data, this paper advocates using a small amount of seed information and a large collec...

The main bottleneck affecting the efficiency of all known fully homomorphic encryption (FHE) schemes is Gentry’s bootstrapping procedure, which is required to refresh noisy ciphertexts and keep computing on encrypted data. Bootstrapping in the latest implementation of FHE, the HElib library of Halevi and Shoup (Crypto 2014), requires about six minutes per batch. We present a new method to homom...

Performance variability, stemming from nondeterministic hardware and software behaviors or deterministic behaviors such as measurement bias, is a well-known phenomenon of computer systems which increases the difficulty of comparing computer performance metrics. Conventional methods use various measures (such as geometric mean) to quantify the performance of different benchmarks to compare compu...