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» Measuring Complexity of Intelligent Machines
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ICPR
2008
IEEE
15 years 11 months ago
Incremental machine learning techniques for document layout understanding
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the automatic document processing task with sufficient flexibility. The great variab...
Floriana Esposito, Marenglen Biba, Stefano Ferilli...
BMCBI
2007
124views more  BMCBI 2007»
14 years 9 months ago
A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality
Background: Identifying all protein complexes in an organism is a major goal of systems biology. In the past 18 months, the results of two genome-scale tandem affinity purificatio...
G. Traver Hart, Insuk Lee, Edward M. Marcotte
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
97
Voted
BMCBI
2006
201views more  BMCBI 2006»
14 years 9 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
ML
2000
ACM
185views Machine Learning» more  ML 2000»
14 years 9 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih