activity
20092019
most citedInsights into Quasar UV Spectra Using Unsupervised Clustering Analysis

7 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GL2019

From Helmut Jürgensen's Former Students: The Game of Informatics Research

Mark Daley, Mark Eramian, Christopher Power +1

Personal reflections are given on being students of Helmut Jürgensen. Then, we attempt to address his hypothesis that informatics follows trend-like behaviours through the use of a…

cs.AI2019

Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance

Ethan C. Jackson, Mark Daley

Reinforcement learning (RL) problems often feature deceptive local optima, and learning methods that optimize purely for reward signal often fail to learn strategies for overcoming…

stat.AP2018

On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data

Ethan C. Jackson, James Alexander Hughes, Mark Daley

In contrast to conventional, univariate analysis, various types of multivariate analysis have been applied to functional magnetic resonance imaging (fMRI) data. In this paper, we c…

astro-ph.GA2016★ 7 cited

Insights into Quasar UV Spectra Using Unsupervised Clustering Analysis

Aycha Tammour, Sarah C. Gallagher, Mark Daley +1

Machine learning can provide powerful tools to detect patterns in multi-dimensional parameter space. We use K-means -a simple yet powerful unsupervised clustering algorithm which p…

cs.FL2009★ 3 cited

On the Shuffle Automaton Size for Words

Franziska Biegler, Mark Daley, Ian McQuillan

We investigate the state size of DFAs accepting the shuffle of two words. We provide words u and v, such that the minimal DFA for u shuffled with v requires an exponential number o…

cs.FL2009★ 1 cited

State complexity of orthogonal catenation

Mark Daley, Michael Domaratzki, Kai Salomaa

A language is the orthogonal catenation of languages and if every word of can be written in a unique way as a catenation of a word in and a word in .…