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result(s) for
"Schiller, Eric"
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Autolexical Theory
by
Eric Schiller, Elisa Steinberg, Barbara Need, Eric Schiller, Elisa Steinberg, Barbara Need
in
Generative Grammatik
,
Grammatiktheorie
,
Kongress 1989
2011
No detailed description available for \"Autolexical Theory\".
Autolexical theory : ideas and methods
by
Steinberg, Elisa
,
Need, Barbara
,
Schiller, E. (Eric)
in
Autolexical theory (Linguistics)
,
Generative grammar
1996,1995
Autolexical syntax is a radical departure from the then-revolutionary approaches to descriptive grammar that developed in the 1960s and became dominant in the 1980s. It constructs parallel grammatical representations in which information is organized on a number of levels know as dimensions. Each dimension contains information relating to a single
Creating Novel Architectural Layouts with Generative Adversarial Networks
2018
Although deep learning has made significant advances over the past 10 years, much of the focus has gone towards discriminator networks, allowing the mapping of complex input to output representing a series of classes (Goodfellow, 2014). Generative models for neural networks, on the other hand, are still in their infancy. In recent years, two particularly interesting generative models have emerged: Generative Adversarial Networks (GANs), and variational auto-encoders (VAEs).At a very high-level, a GAN is a pair of artificial neural networks that work in opposition to generate data. In this project, GANs were utilized to solve a practical problem. We designed and implemented a GAN to generate novel, two-dimensional floor plans for homes. Applications for such a generative model could include generating realistic residential neighborhoods in simulations, procedural content for games, or even providing basic prototypes for architects or designers.We also developed a floorplan dataset to train the neural network. Tools were developed in order to streamline the addition of new data to the dataset, and to allow the neural network to work with the training data.
Dissertation
Dynamics of American Democracy
2021,2020
Democracy is in crisis. Washington is failing. Government is
broken. On these counts many politicians, policy experts, and
citizens agree. What is less clear is why-and what to do about it.
These questions are at the heart of Dynamics of American
Democracy , which goes beneath the surface of current events to
explore the forces reshaping democratic politics in the United
States and around the world. Bringing together leading scholars and
practitioners of politics and governance, this volume charts a
twenty-first-century landscape beset by ideological polarization
and political tribalism; rapid demographic, economic, and
technological change; the influence of online news and social
media; and the increasing importance of public attitudes about
gender and race. Against this fraught background the authors
consider the performance of the two-party system, the operations of
Congress and the presidency, and the ways in which ordinary
citizens form their beliefs and make their voting decisions. The
contributors' work represents a wide range of perspectives and
methodological approaches and provides insight into what ails
American governance, from the practice of politics as tribal
warfare to the electoral rules that produce a two-party hegemony,
and from the impact of social media-including how differently
conservatives and liberals use Twitter-to the significance of
President Trump in historical and institutional perspective.
Finally, Dynamics of American Democracy goes beyond
diagnosis to present and evaluate the value and viability of
proposals for reforming politics.