548 citations · 2.3k across the 35 of their papers we have counts for
4 papers · 1 filter
Adjusting for Chance Clustering Comparison Measures
Simone Romano, Nguyen Xuan Vinh, James Bailey +1
Adjusted for chance measures are widely used to compare partitions/clusterings of the same data set. In particular, the Adjusted Rand Index (ARI) based on pair-counting, and the Ad…
MOOCs Meet Measurement Theory: A Topic-Modelling Approach
Jiazhen He, Benjamin I. P. Rubinstein, James Bailey +3
This paper adapts topic models to the psychometric testing of MOOC students based on their online forum postings. Measurement theory from education and psychology provides statisti…
A Framework to Adjust Dependency Measure Estimates for Chance
Simone Romano, Nguyen Xuan Vinh, James Bailey +1
Estimating the strength of dependency between two variables is fundamental for exploratory analysis and many other applications in data mining. For example: non-linear dependencies…
Invariant backpropagation: how to train a transformation-invariant neural network
Sergey Demyanov, James Bailey, Ramamohanarao Kotagiri +1
In many classification problems a classifier should be robust to small variations in the input vector. This is a desired property not only for particular transformations, such as t…