2016 ASIS&T Annual Lecture at Napier University

Eighth Annual Lauterbur Lecture

Neuroglial tumors contain both neuronal and glial elements and are the slowest growing CNS tumors, we report our experience in MR proton single voxel and CSI spectroscopy in 6 neuroglial tumors: gangliocytoma(1), gangliogliomas(4) and DIG(1), all classified as favorable low grade WHO grade I tumors. These tumors all have good prognoses but are rare entities, with the commonest, gangioglioma, re...

Lecture 5 – February 17 , 2016

This lecture is on dimensionality reduction, which aims at ‘squashing’ down the dimensionality while still preserving some geometric properties. The motivation behind this technique is that many types of data are high-dimensional, and it will be operationally much easier to manipulate these data in a lower dimension. For instance, the bag-of-words representation of documents, which treats every...

2016 ASCB Annual Meeting Abstracts

Cs251 Spring 2016 Lecture 12

1 Probability distribution functions Probability distribution functions assign probabilities to each of the possible outcomes of a random experiment. These distributions can be continuous (e.g. grading on a 4.0 scale), or discrete (e.g. grading with letter grades) (see Fig. ??). Figure 1: Terminology for continuous and discrete probability distributions. A probability distribution function spec...

Lecture 5 — September 8 , 2016

1 Overview In the last lecture we took a more in depth look at Chernoff Bounds and introduced subgaussian and subexponential variables. In this lecture we will continue talking about subgaussian variables and related random variables – subexponential and subgamma, and finally we will give a proof of famous Johnson-Lindenstrauss lemma using property of subgaussian/subgamma variables. Definition ...