In a conversational system, determining a user’s focus of attention is crucial to the success of the system. Motivated by previous psycholinguistic findings, we are currently e...
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
Abstract One approach to predict the secondary structure of RNA is the comparative approach. This approach is used when alignment of several homologous sequences of a RNA is availa...
Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especial...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...