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Found 7 papers, 1 papers with code
Von Mises Mixture Distributions for Molecular Conformation Generation
The resulting distribution on geometries $p(x)$ is known as the Boltzmann distribution, and many molecular properties are expectations computed under this distribution.
Limits of Transfer Learning
To address this, we prove several novel results related to transfer learning, showing the need to carefully select which sets of information to transfer and the need for dependence between transferred information and target problems.
Decomposable Probability-of-Success Metrics in Algorithmic Search
Previous studies have used a specific success metric within an algorithmic search framework to prove machine learning impossibility results.
Latent semantic network induction in the context of linked example senses
The Princeton WordNet is a powerful tool for studying language and developing natural language processing algorithms.
Boundary-based MWE segmentation with text partitioning
This submission describes the development of a fine-grained, text-chunking algorithm for the task of comprehensive MWE segmentation.
Context-Sensitive Recognition for Emerging and Rare Entities
This paper is a shared task system description for the 2017 W-NUT shared task on Rare and Emerging Named Entities.
Photographic home styles in Congress: a computer vision approach
While members of Congress now routinely communicate with constituents using images on a variety of internet platforms, little is known about how images are used as a means of strategic political communication.
