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ECML
2006
Springer
15 years 8 months ago
Right of Inference: Nearest Rectangle Learning Revisited
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
Byron J. Gao, Martin Ester
COLT
2008
Springer
15 years 6 months ago
Learning Mixtures of Product Distributions Using Correlations and Independence
We study the problem of learning mixtures of distributions, a natural formalization of clustering. A mixture of distributions is a collection of distributions D = {D1, . . . DT },...
Kamalika Chaudhuri, Satish Rao
ALT
2010
Springer
15 years 6 months ago
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
Borja Balle, Jorge Castro, Ricard Gavaldà
141
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ICML
2010
IEEE
15 years 5 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
ICML
2010
IEEE
15 years 5 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping