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10/28/2016
Adaptive regularization for Lasso models in the context of non-stationary data streams
Large scale, streaming datasets are ubiquitous in modern machine learnin...
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05/01/2016
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines
Large-scale automated meta-analysis of neuroimaging data has recently es...
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12/07/2015
Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection
In neuroimaging data analysis, Gaussian graphical models are often used ...
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11/24/2015
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
Bayesian optimization has been proposed as a practical and efficient too...
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11/06/2015
Streaming regularization parameter selection via stochastic gradient descent
We propose a framework to perform streaming covariance selection. Our ap...
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02/08/2015
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces
There has been an explosion of interest in functional Magnetic Resonance...
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02/05/2015
Estimating Optimal Active Learning via Model Retraining Improvement
A central question for active learning (AL) is: "what is the optimal sel...
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08/06/2014
When does Active Learning Work?
Active Learning (AL) methods seek to improve classifier performance when...
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07/30/2014
Targeting Optimal Active Learning via Example Quality
In many classification problems unlabelled data is abundant and a subset...
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02/12/2012
A better Beta for the H measure of classification performance
The area under the ROC curve is widely used as a measure of performance ...
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01/26/2012