Approximating Credal Network Inferences by Linear Programming

An algorithm for approximate credal network updating is presented. The problem in its general formulation is a multilinear optimization task, which can be linearized by an appropriate rule for fixing all the local models apart from those of a single variable. This simple idea can be iterated and quickly leads to very accurate inferences. The approach can also be specialized to classification with credal networks based on the maximality criterion. A complexity analysis for both the problem and the algorithm is reported together with numerical experiments, which confirm the good performance of the method. While the inner approximation produced by the algorithm gives rise to a classifier which might return a subset of the optimal class set, preliminary empirical results suggest that the accuracy of the optimal class set is seldom affected by the approximate probabilities

Think, code, succeed: The Programming Studio as a games-based collaboration:Paper published in the Proceedings of the Association for Teacher Education in Europe conference: Teacher Education through Partnerships and Collaborative Learning Communities, Glasgow, UK. ATEE, 2015

This paper investigates the profile of teachers in the island of Ireland who declared themselves willing to undertake professional development activities in programming, in particular to master programming by taking on-line courses involving the design of computer games. Using the Technology Acceptance Model (TAM), it compares scores for teachers “willing” to undertake the courses with scores for those who declined, and examines other differences between the groups of respondents. Findings reflect the perceived difficulties of programming and the current low status accorded to the subject in Ireland. The paper also reviews the use of games-based learning as a “hook” to engage learners in programming and discusses the role of gamification as a tool for motivating learners in an on-line course. The on-line course focusing on games design was met with enthusiasm, and there was general consensus that gamification was appropriate for motivating learners in structured courses such as those provided.

Punishment, youth justice and cultural contingency: Towards a balanced approach

Reflecting developments in the broader penological realm, accounts have been advanced over the last number of decades about a ‘punitive turn’ in the youth justice systems of Western democracies. Against the background of this work, this project seeks to identify convergent and divergent trends in the youth justice systems of England, the Republic of Ireland and Northern Ireland as well as the rationalities and discourses animating these. The results lend support to research emphasising the continued salience of national, regional and local factors on penal outcomes but also suggest the need to steer an analytical path somewhere between nomothetic (convergent) and idiographic (divergent) accounts.

"Things I did not know”: Retrospectives on a Canadian rural male youth suicide using an instrumental photo voice case study

In Canada, it is young rural based men who are at the greatest risk for suicide. While there is no consensus on the reasons for this, evidence points to contextual social factors including isolation, lack of confidential services and pressure to uphold restrictive norms of rural masculinity. In this article we share findings drawn from an instrumental photo voice case study to distil factors contributing to the suicide of a young Canadian rural based man. Integrating photo voice methods and in-depth qualitative we conducted interviews with 7 family members and close friends of the deceased. The interviews and image data were analyzed using constant comparative methods to discern themes related to participants’ reflections on and perceptions about rural male suicide. Three inductively derived themes, “Missing the signs”, “Living up to his public image” and “Down in Rural Canada ” reflect the challenges that survivors and young rural men can experience in attempting to be comply with restrictive dominant ideals of masculinity. We conclude that community based suicide prevention efforts would benefit from gender-sensitive and place specific approaches to advancing men’s mental health by making tangibly available and affirming an array of masculinities to foster the well-being of young rural based men.

Teaching Programming - Understanding Lecture Capture YouTube Analytics

ABSTRACT
The proliferation in the use of video lecture capture in universities worldwide presents an opportunity to analyse video watching patterns in an attempt to quantify and qualify how students engage and learn with the videos. It also presents an opportunity to investigate if there are similar student learning patterns during the equivalent physical lecture. The goal of this action based research project was to capture and quantitatively analyse the viewing behaviours and patterns of a series of video lecture captures across several university Java programming modules. It sought to study if a quantitative analysis of viewing behaviours of Lecture Capture videos coupled with a qualitative evaluation from the students and lecturers could be correlated to provide generalised patterns that could then be used to understand the learning experience of students during videos and potentially face to face lectures and, thereby, present opportunities to reflectively enhance lecturer performance and the students’ overall learning experience. The report establishes a baseline understanding of the analytics of videos of several commonly used pedagogical teaching methods used in the delivery of programming courses. It reflects on possible concurrences within live lecture delivery with the potential to inform and improve lecturing performance.

Growing Up On an Interface: Findings and Implications for the Social Needs, Mental Health and Lifetime Opportunities of Belfast Youth

In this research we aimed to find out what types of risk (if any) affected young people and children growing up in places of high religious segregation or what we normally call interface communities. This is important as we know that risk and experiences of harm and violence can have negative impacts upon development, emotional well-being and future prospects. It is important to understand what types of risk affect young people and children so as we can respond to these in terms of aiding better personal and community development with regard to health, work, education and wider opportunities.

Multilinear and Integer Programming for Markov Decision Processes with Imprecise Probabilities

Markov Decision Processes (MDPs) are extensively used to encode sequences of decisions with probabilistic effects. Markov Decision Processes with Imprecise Probabilities (MDPIPs) encode sequences of decisions whose effects are modeled using sets of probability distributions. In this paper we examine the computation of Γ-maximin policies for MDPIPs using multilinear and integer programming. We discuss the application of our algorithms to “factored” models and to a recent proposal, Markov Decision Processes with Set-valued Transitions (MDPSTs), that unifies the fields of probabilistic and “nondeterministic” planning in artificial intelligence research. 

Handbook of Disabled Children's Childhoods: Building Understandings: Child, Youth, Family and Disability. Palgrave Macmillan:Disabled Children in Out-of-Home Care: Issues and Challenges for Practice Kelly, B., Sandra, D. & Winter, K. 2016

This chapter provides an overview of some of the key findings from a large mixed methods study regarding disabled children in care in Northern Ireland

Experiencing Youth Justice and Penality

Much of the recent literature on youth justice has focused on administrative aspects of the system and the socio-political contexts that have led to the ‘production’ of the youthful offender as a subject and locus of intervention. This has largely been driven by the extent to which youth justice has been crafted as a distinct penal sphere, evident in its unyoking from universal children’s services (Muncie and Goldson, 2013) and the establishment of separate agencies to administer and govern this ‘system’ (Souhami, 2014). Driven by policy hyperactivity and a plethora of legislation expanding the reach of the system, for much of the 1990s and 2000s increasing numbers of young people were brought under its gaze.

Particular attention has been paid to the impact of neo-liberal governance on the discourses, rationales and philosophies underpinning contemporary youth justice policy and practice. Writing specifically in the English and Welsh context, several authors have identified that the resulting ‘system’ embodies multiple, contradictory and competing discourses (Muncie, 2006; Fergusson, 2007; Gray, 2013). Within this ‘melting pot’ Fergusson (2007) notes the disjuncture between policy rhetoric, implementation and lived experience and Phoenix (2015) argues that systems-based analyses, much in favour amongst academics, foreclose a wider consideration of questions of what ‘justice’ actually means.

Recent attention towards the perspectives of practitioners working in this sphere has pointed to greater nuances than broader penal narratives suggest (see: Field, 2007; Briggs, 2013; Gray, 2013; Kelly and Armitage, 2015). Yet similar attention has not been given to experiences of youth justice (for an exception see – Phoenix and Kelly, 2013). However, it is precisely young people’s experiences, which would add significantly to current knowledge and potentially bridge the gap between discussions about penal philosophies, how youth justice policies are framed, how they are enacted and how they are experienced.

This chapter provides an overview of recent developments in the field of youth justice and penality in the United Kingdom. The chapter argues that a theoretical focus on macro-level trends (Hannah-Moffat and Lynch, 2012), alongside a narrowly defined research agenda, have largely excluded young people’s experiences of justice and punishment from contemporary analysis. Drawing on young people experiences of different aspects of youth justice in Northern Ireland and beyond, the chapter illuminates what a close understanding of lived experience can add to knowledge. In particular it demonstrates that the effects of interventions can be different to their aims and intentions; and that re-instating the youth experience can add support to calls for greater attention to wider issues of social justice.

Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils

Some plants of genus Schinus have been used in the folk medicine as topical antiseptic, digestive, purgative, diuretic, analgesic or antidepressant, and also for respiratory and urinary infections. Chemical composition of essential oils of S. molle and S. terebinthifolius had been evaluated and presented high variability according with the part of the plant studied and with the geographic and climatic regions. The pharmacological properties, namely antimicrobial, anti-tumoural and anti-inflammatory activities are conditioned by chemical composition of essential oils. Taking into account the difficulty to infer the pharmacological properties of Schinus essential oils without hard experimental approach, this work will focus on the development of a decision support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks and the respective Degree-of-Confidence that one has on such an occurrence.

Convex Quadratic Programming Approach to the Maximum Matching Problem

The problem of determining a maximum matching or whether there exists a perfect matching, is very common in a large variety of applications and as been extensively studied in graph theory. In this paper we start to introduce a characterisation of a family of graphs for which its stability number is determined by convex quadratic programming. The main results connected with the recognition of this family of graphs are also introduced. It follows a necessary and sufficient condition which characterise a graph with a perfect matching and an algorithmic strategy, based on the determination of the stability number of line graphs, by convex quadratic programming, applied to the determination of a perfect matching. A numerical example for the recognition of graphs with a perfect matching is described. Finally, the above algorithmic strategy is extended to the determination of a maximum matching of an arbitrary graph and some related results are presented.

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

In the field of control systems it is common to use techniques based on model adaptation to carry out control for plants for which mathematical analysis may be intricate. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this line, this paper gives a perspective on the quality of results given by two different biologically connected learning algorithms for the design of B-spline neural networks (BNN) and fuzzy systems (FS). One approach used is the Genetic Programming (GP) for BNN design and the other is the Bacterial Evolutionary Algorithm (BEA) applied for fuzzy rule extraction. Also, the facility to incorporate a multi-objective approach to the GP algorithm is outlined, enabling the designer to obtain models more adequate for their intended use.

Genetic and bacterial programming for B-Spline neural networks design

The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.

Design of B-spline neural networks using a bacterial programming approach

The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.

A computational study of a parallel Branch and Bound algorithm for the quadratic 0-1 programming problem on transputers

Discrete optimization problems are very difficult to solve, even if the dimantion is small. For most of them the problem of finding an ε-approximate solution is already NP-hard.