19 citations · 48 across the 8 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.NE2016★ 11 cited
Deep Gate Recurrent Neural Network
Yuan Gao, Dorota Glowacka
This paper introduces two recurrent neural network structures called Simple Gated Unit (SGU) and Deep Simple Gated Unit (DSGU), which are general structures for learning long term…
cs.IR2016★ 4 cited
Image Retrieval with a Bayesian Model of Relevance Feedback
Dorota Glowacka, Yee Whye Teh, John Shawe-Taylor
A content-based image retrieval system based on multinomial relevance feedback is proposed. The system relies on an interactive search paradigm where at each round a user is presen…
cs.HC2016★ 7 cited
Interactive Modeling of Concept Drift and Errors in Relevance Feedback
Antti Kangasrääsiö, Yi Chen, Dorota Głowacka +1
Users giving relevance feedback in exploratory search are often uncertain about the correctness of their feedback, which may result in noisy or even erroneous feedback. Additionall…