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ORCIDMachine Learning, Volume 65, 2006
Volume 65, Number 1, October 2006
- Shi Zhong:
Semi-supervised model-based document clustering: A comparative study. 3-29 - Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis:
The max-min hill-climbing Bayesian network structure learning algorithm. 31-78 - Maria-Florina Balcan, Avrim Blum, Santosh S. Vempala:
Kernels as features: On kernels, margins, and low-dimensional mappings. 79-94 - Chris Drummond, Robert C. Holte:
Cost curves: An improved method for visualizing classifier performance. 95-130 - Marc Boullé:
MODL: A Bayes optimal discretization method for continuous attributes. 131-165 - Abraham P. George, Warren B. Powell:
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming. 167-198 - Yang Xiang, J. Lee:
Learning decomposable markov networks in pseudo-independent domains with local evaluation. 199-227 - Dougu Nam, Seunghyun Seo, Sangsoo Kim:
An efficient top-down search algorithm for learning Boolean networks of gene expression. 229-245 - E. Ke Tang, Ponnuthurai N. Suganthan
, Xin Yao:
An analysis of diversity measures. 247-271 - Kar-Ann Toh:
Training a reciprocal-sigmoid classifier by feature scaling-space. 273-308 - Rajesh Mysore Pampapathi, Boris G. Mirkin, Mark Levene:
A suffix tree approach to anti-spam email filtering. 309-338
Volume 65, Numbers 2-3, December 2006
- Gerhard Widmer:
Guest editorial: Machine learning in and for music. 343-346 - Gerhard Widmer:
Guest Editorial: Machine learning in and for music. 347 - Darrell Conklin:
Melodic analysis with segment classes. 349-360 - Graham Grindlay, David P. Helmbold:
Modeling, analyzing, and synthesizing expressive piano performance with graphical models. 361-387 - Christopher Raphael:
Aligning music audio with symbolic scores using a hybrid graphical model. 389-409 - Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
A case based approach to expressivity-aware tempo transformation. 411-437 - Daniel P. W. Ellis, Graham E. Poliner:
Classification-based melody transcription. 439-456 - Ning Hu, Roger B. Dannenberg:
Bootstrap learning for accurate onset detection. 457-471 - James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl:
Aggregate features and ADABOOSTfor music classification. 473-484 - Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey:
Using duration models to reduce fragmentation in audio segmentation. 485-515
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