In this paper we show how to re-use the very same do-notation to work for Applicatives as well, providing efficiency benefits for some types that are both Monad and Applicative, and syntactic convenience for those that are merely Applicative.
By: Simon Marlow, Simon Peyton Jones, Edward Kmett, Andrey Mokhov
This article describes a method for constructing a special rule (we call it synergy rule) that uses as its input information the outputs (scores) of several monotonic rules which solve the same pattern recognition problem.
Graph reordering is a powerful technique to increase the locality of the representations of graphs, which can be helpful in several applications. We study how the technique can be used to improve compression of graphs and inverted indexes.
Association for Computational Linguistics (ACL 2016)
We present a systematic comparison of neural strategies to represent and train large vocabularies, including softmax, hierarchical softmax, target sampling, noise contrastive estimation and self normalization.
This paper explores ways to address the emotional needs of social media users through designing experiences that (a) make people feel seen and heard by focusing on their suffering and emotions rather than their eating behaviors; (b) help people feel they belong by focusing on activities and opportunities that enable connection with themselves and things they value; and (c) help people feel in control by focusing on resources and information to receive support or take steps toward recovery.
An extensive literature shows that social relationships influence psychological well-being, but the underlying mechanisms remain unclear. We test predictions about online interactions and well-being made by theories of belongingness, relationship maintenance, relational investment, social support, and social comparison.