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ML
2006
ACM
10 years 4 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
10 years 4 months ago
An analysis of diversity measures
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
ML
2006
ACM
187views Machine Learning» more  ML 2006»
10 years 4 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
Graham Grindlay, David P. Helmbold
ML
2006
ACM
132views Machine Learning» more  ML 2006»
10 years 4 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
ML
2006
ACM
142views Machine Learning» more  ML 2006»
10 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
ML
2006
ACM
149views Machine Learning» more  ML 2006»
10 years 4 months ago
A case based approach to expressivity-aware tempo transformation
The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular...
Maarten Grachten, Josep Lluís Arcos, Ramon ...
ML
2006
ACM
109views Machine Learning» more  ML 2006»
10 years 4 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
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