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Found 14 papers, 0 papers with code
Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer
The prognosis for patients with epithelial ovarian cancer remains dismal despite improvements in survival for other cancers.
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment
Previous work in the area of sentiment analysis has focused on using information from within a sentence to predict a valence value for that sentence.
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
Performance in language modelling has been significantly improved by training recurrent neural networks on large corpora.
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
In this paper, we combine multimodal information from both text and image-based representations derived from state-of-the-art distributional models to produce sparse, interpretable vectors using Joint Non-Negative Sparse Embedding.
NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016)
The goal is to understand the brain by trying to find the function that expresses the activity of brain areas in terms of different properties of the stimulus.
