We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
The STOP system, which generates personalised smoking-cessation letters, was evaluated by a randomised controlled clinical trial. We believe this is the largest and perhaps most r...
Ehud Reiter, Roma Robertson, A. Scott Lennox, Lies...