3 papers
cs.NE2016
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
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
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…