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JMLR
2010
162views more  JMLR 2010»
15 years 1 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
IPPS
2007
IEEE
16 years 23 days ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
BMCBI
2006
169views more  BMCBI 2006»
15 years 6 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
SETN
2010
Springer
16 years 1 months ago
A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
Miguel Ballesteros, Jesús Herrera, Virginia...
ICDM
2002
IEEE
152views Data Mining» more  ICDM 2002»
15 years 11 months ago
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
Jun Wang, Bei Yu, Les Gasser