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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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ICMLA
2008
15 years 2 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
ACIVS
2006
Springer
15 years 4 months ago
Robust Analysis of Silhouettes by Morphological Size Distributions
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Olivier Barnich, Sébastien Jodogne, Marc Va...
110
Voted
CSE
2009
IEEE
15 years 7 months ago
First Steps to Netviz Nirvana: Evaluating Social Network Analysis with NodeXL
—Social Network Analysis (SNA) has evolved as a popular, standard method for modeling meaningful, often hidden structural relationships in communities. Existing SNA tools often i...
Elizabeth M. Bonsignore, Cody Dunne, Dana Rotman, ...
95
Voted
CIKM
2005
Springer
15 years 6 months ago
Learning to summarise XML documents using content and structure
Documents formatted in eXtensible Markup Language (XML) are becoming increasingly available in collections of various document types. In this paper, we present an approach for the...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
110
Voted
MLDM
2005
Springer
15 years 6 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz