37 research outputs found

    Maine Campus February 02 2012

    Get PDF

    The Chronicle [September 6, 2010]

    Get PDF
    The Chronicle, September 6, 2010https://repository.stcloudstate.edu/chron/4837/thumbnail.jp

    Online Gendered Harassment and Violence: Naming the Harm and Punishing the Behavior

    Full text link
    Honors (Bachelor's)Communication StudiesUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/134723/1/madeleik.pd

    Mustang Daily, April 17, 2009

    Get PDF
    Student newspaper of California Polytechnic State University, San Luis Obispo, CA.https://digitalcommons.calpoly.edu/studentnewspaper/7908/thumbnail.jp

    9th Annual Focus on Creative Inquiry Poster Forum Program

    Get PDF
    The 2014 Focus on Creative Inquiry Poster Forum displays a selection of the projects accomplished by Clemson University students in their Creative Inquiry teams. What is Creative Inquiry? It is small-group learning for all students, in all disciplines. It is the imaginative combination of engaged learning and undergraduate research – and it is unique to Clemson University. In Creative inquiry, small teams of undergraduate students work with faculty mentors to take on problems that spring from their own curiosity, a professor’s challenge, or the pressing needs of the world around them. Students take ownership of their projects. They ask questions, they take risks, and they get answers

    Critical Heritage Studies and the Futures of Europe

    Get PDF
    Cultural and natural heritage are central to ‘Europe’ and ‘the European project’. They were bound up in the emergence of nation-states in the eighteenth and nineteenth centuries, where they were used to justify differences over which border conflicts were fought. Later, the idea of a ‘common European heritage’ provided a rationale for the development of the European Union. Now, the emergence of ‘new’ populist nationalisms shows how the imagined past continues to play a role in cultural and social governance, while a series of interlinked social and ecological crises are changing the ways that heritage operates. New discourses and ontologies are emerging to reconfigure heritage for the circumstances of the present and the uncertainties of the future. Taking the current role of heritage in Europe as its starting point, Critical Heritage Studies and the Futures of Europe presents a number of case studies that explore key themes in this transformation. Contributors draw on a range of disciplinary perspectives to consider, variously, the role of heritage and museums in the migration and climate ‘emergencies’; approaches to urban heritage conservation and practices of curating cities; digital and digitised heritage; the use of heritage as a therapeutic resource; and critical approaches to heritage and its management. Taken together, the chapters explore the multiple ontologies through which cultural and natural heritage have actively intervened in redrawing the futures of Europe and the world

    The Murray Ledger, September 21, 1911

    Get PDF

    Bioinspired metaheuristic algorithms for global optimization

    Get PDF
    This paper presents concise comparison study of newly developed bioinspired algorithms for global optimization problems. Three different metaheuristic techniques, namely Accelerated Particle Swarm Optimization (APSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO) are investigated and implemented in Matlab environment. These methods are compared on four unimodal and multimodal nonlinear functions in order to find global optimum values. Computational results indicate that GWO outperforms other intelligent techniques, and that all aforementioned algorithms can be successfully used for optimization of continuous functions

    Experimental Evaluation of Growing and Pruning Hyper Basis Function Neural Networks Trained with Extended Information Filter

    Get PDF
    In this paper we test Extended Information Filter (EIF) for sequential training of Hyper Basis Function Neural Networks with growing and pruning ability (HBF-GP). The HBF neuron allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice. The main intuition behind HBF is in generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector. We exploit concept of neuron’s significance and allow growing and pruning of HBF neurons during sequential learning process. From engineer’s perspective, EIF is attractive for training of neural networks because it allows a designer to have scarce initial knowledge of the system/problem. Extensive experimental study shows that HBF neural network trained with EIF achieves same prediction error and compactness of network topology when compared to EKF, but without the need to know initial state uncertainty, which is its main advantage over EKF
    corecore