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» On Using Learning Curves to Evaluate ITS
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ICASSP
2008
IEEE
14 years 2 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
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...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 11 months ago
Predicting and Optimizing Classifier Utility with the Power Law
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...
Mark Last
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 1 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
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...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
ICDAR
2009
IEEE
14 years 2 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
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...
Volkmar Frinken, Horst Bunke
ACL
2001
13 years 9 months ago
Using a Randomised Controlled Clinical Trial to Evaluate an NLG System
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...