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1996
Machine learning has been formalized as the problem of estimating a conditional distribution as the ‘concept’ to be learned. The learning algorithm is based upon the MDL (Minimum Description Length) principle. The asymptotically optimal learning rate is determined for a typical example.
J. Rissanen, Bin Yu
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Machine learning has been formalized as the problem of estimating a conditional distribution as the ‘concept’ to be learned. The learning algorithm is based upon the MDL (Minimum Description Length) principle. The asymptotically optimal learning rate is determined for a typical example.
J. Rissanen, Bin Yu
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MDL-based Hierarchical Clustering
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015This paper presents a new hierarchical clustering algorithm based on the use of the Minimum Description Length (MDL) principle. The clusters are created by recursively splitting the data using the values of an attribute (similarly to decision tree learning), so that each cluster contains the instances that have the same value for this attribute ...
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The Generalized MDL Approach for Summarization
2002There are many applications in OLAP and data analysis where we identify regions of interest. For example, in OLAP, an analysis query involving aggregate sales performance of various products in different locations and seasons could help identify interesting cells, such as cells of a data cube having an aggregate sales higher than a threshold.
Laks V. S. Lakshmanan +4 more
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MDL 72222: A Potent and Highly Selective Antagonist at Neuronal 5-Hydroxytryptamine Receptors
Naunyn-Schmiedeberg's Archives of Pharmacology, 1984J R Fozard
exaly