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» Learning Rules from Distributed Data
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 2 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
EMNLP
2010
14 years 9 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou
MCS
2009
Springer
15 years 6 months ago
True Path Rule Hierarchical Ensembles
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
Giorgio Valentini
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 5 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
AISS
2010
171views more  AISS 2010»
14 years 6 months ago
An Investigation into Influence Factor of Student Programming Grade Using Association Rule Mining
Computer programming is one of the most essential skills which each graduate has to acquire. However, there are reports that they are unable to write a program well. Researches in...
Mohamad Farhan Mohamad Mohsin, Mohd Helmy Abd Waha...