23. ICML 2006:
Pittsburgh, Pennsylvania, USA
Dennis DeCoste:
Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.
249-256
Charles Elkan:
Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution.
289-296
Jochen Garcke:
Regression with the optimised combination technique.
321-328
Yang Ge,
Wenxin Jiang:
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
329-335
Patrick Haffner:
Fast transpose methods for kernel learning on sparse data.
385-392
Steve Hanneke:
An analysis of graph cut size for transductive learning.
393-399
Brendan Juba:
Estimating relatedness via data compression.
441-448
Ling Li:
Multiclass boosting with repartitioning.
569-576
Wei Li,
Andrew McCallum:
Pachinko allocation: DAG-structured mixture models of topic correlations.
577-584
Le Lu,
René Vidal:
Combined central and subspace clustering for computer vision applications.
593-600
Marina Meila:
The uniqueness of a good optimum for K-means.
625-632
Sunita Sarawagi:
Efficient inference on sequence segmentation models.
793-800
Le Song,
Julien Epps:
Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features.
857-864
Masashi Sugiyama:
Local Fisher discriminant analysis for supervised dimensionality reduction.
905-912
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