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IDEAL
2004
Springer
15 years 11 months ago
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.
We present an approach to classification of biomedical terms based on the information acquired automatically from the corpus of relevant literature. The learning phase consists of...
Irena Spasic, Goran Nenadic, Sophia Ananiadou
CORR
2004
Springer
110views Education» more  CORR 2004»
15 years 6 months ago
Shannon Information and Kolmogorov Complexity
The elementary theories of Shannon information and Kolmogorov complexity are cmpared, the extent to which they have a common purpose, and where they are fundamentally different. T...
Peter Grünwald, Paul M. B. Vitányi
148
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SIAMCOMP
2002
95views more  SIAMCOMP 2002»
15 years 6 months ago
A Linear Algorithm for Finding the Invariant Edges of an Edge-Weighted Graph
Given an edge-weighted graph where all weights are nonnegative reals, an edge reweighting is an assignment of nonnegative reals to edges such that, for each vertex, the sums of giv...
Francesco M. Malvestuto, Mauro Mezzini
SAC
2011
ACM
15 years 1 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
COOPIS
2004
IEEE
15 years 10 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar