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» Lossless Data Compression Using Optimal Tree Machines
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JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JMLR
2008
111views more  JMLR 2008»
13 years 7 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
IJIT
2004
13 years 8 months ago
Computing Entropy for Ortholog Detection
Abstract-- Biological sequences from different species are called orthologs if they evolved from a sequence of a common ancestor species and they have the same biological function....
Hsing-Kuo Pao, John Case
DCC
1996
IEEE
13 years 11 months ago
On the Implementation of Minimum-Redundancy Prefix Codes
Abstract--Minimum redundancy coding (also known as Huffman coding) is one of the enduring techniques of data compression. Many efforts have been made to improve the efficiency of m...
Alistair Moffat, Andrew Turpin
JEA
2008
120views more  JEA 2008»
13 years 7 months ago
Better external memory suffix array construction
Suffix arrays are a simple and powerful data structure for text processing that can be used for full text indexes, data compression, and many other applications in particular in b...
Roman Dementiev, Juha Kärkkäinen, Jens M...