Guest editorial: Machine learning in and for music
Guest Editorial: Machine learning in and for music
Melodic analysis with segment classes
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Aligning music audio with symbolic scores using a hybrid graphical model
A case based approach to expressivity-aware tempo transformation
Classification-based melody transcription
Bootstrap learning for accurate onset detection
Aggregate features and ADABOOST for music classification
Using duration models to reduce fragmentation in audio segmentation
Semi-supervised model-based document clustering: A comparative study
The max-min hill-climbing Bayesian network structure learning algorithm
Kernels as features: On kernels, margins, and low-dimensional mappings
Cost curves: An improved method for visualizing classifier performance
MODL: A Bayes optimal discretization method for continuous attributes
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
Learning decomposable markov networks in pseudo-independent domains with local evaluation
An efficient top-down search algorithm for learning Boolean networks of gene expression
An analysis of diversity measures
Training a reciprocal-sigmoid classifier by feature scaling-space
A suffix tree approach to anti-spam email filtering