Regularizing Max-Margin Exemplars by Reconstruction and Generative Models Jose C. Rubio and Bj¨orn Ommer , Heidelberg Collaboratory for Image Processing IWR, Heide

Source URL: hci.iwr.uni-heidelberg.de

Rapid Prototyping of Scalable Grammars: Towards Modularity in Extensions to a Language-Independent Core Emily M. Bender Dan Flickinger Department of Linguistics Center for the Study of Language and Information University

Source URL: faculty.washington.edu

• Linguistics
• Syntax
• Grammar
• Parts of speech
• Generative linguistics
• Semantics
• Head-driven phrase structure grammar
• DELPH-IN
• Verb
• Valency
• Language
• Preposition and postposition

Generative Models for Rapid Information Propagation Kirill Dyagilev Electrical Engineering Technion Haifa 32000, Israel

Source URL: snap.stanford.edu

Microsoft Word - Generative process, generative outcome - formatted.docx

Source URL: www.gervasebushe.ca

Augmenting Affect from Speech with Generative Music

Source URL: mediatum.ub.tum.de

\\server05\productn\M\MLR\69-4\MLR403.txt unknown Seq: 1

Source URL: james.grimmelmann.net

• Computing
• IOS
• Business
• Steve Jobs
• Technology
• Smartphones
• Videotelephony
• Generativity
• Semiotics
• Jonathan Zittrain
• Generative systems
• IPhone

Languages for Computational Creativity Generative Art and Interactive Worlds (Full Presentation) Chris Martens Carnegie Mellon University

Source URL: popl-obt-2014.cs.brown.edu

• Logic
• Visual arts
• Abstraction
• Programming paradigms
• Non-classical logic
• Formal languages
• Grammar
• Logic in computer science
• Generative art
• Logic programming
• Linear logic
• Generative music

Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada

Source URL: www.cs.toronto.edu

A new generative model for sounds: The Gaussian Modulation Cascade Process Richard Turner () Maneesh Sahani () Gatsby Computational Neuroscience Unit,

Source URL: www.gatsby.ucl.ac.uk

Beauty and the Beast: What running a broad-coverage precision grammar over the BNC taught us about the grammar — and the corpus Timothy Baldwin, John Beavers, Emily M. Bender∗ , Dan Flickinger, Ara Kim and Stephan Oe

Source URL: lingo.stanford.edu

• Linguistics
• Cognitive science
• Generative linguistics
• Grammar
• Syntax
• Philosophy of logic
• Philosophy of language
• Parsing
• Grammaticality
• Head-driven phrase structure grammar
• Treebank
• Lexical item