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» Classification of Contradiction Patterns
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124
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NIPS
1994
15 years 5 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
164
Voted
BILDMED
2009
215views Algorithms» more  BILDMED 2009»
15 years 4 months ago
Texture-Based Polyp Detection in Colonoscopy
Colonoscopy is one of the best methods for screening colon cancer. A variety of research groups have proposed methods for automatic detection of polyps in colonoscopic images to su...
Stefan Ameling, Stephan Wirth, Dietrich Paulus, Ge...
109
Voted
HUC
2010
Springer
15 years 4 months ago
Beyond context-awareness: context prediction in an industrial application
In this paper, we discuss the benefits of context prediction for an industrial application in open cast mining. The goal of context prediction is not only to recognize the current...
Yong Ding, Hedda Rahel Schmidtke, Michael Beigl
124
Voted
ICFP
2010
ACM
15 years 4 months ago
Using functional programming within an industrial product group: perspectives and perceptions
We present a case-study of using OCaml within a large product development project, focussing on both the technical and nontechnical issues that arose as a result. We draw comparis...
David Scott, Richard Sharp, Thomas Gazagnaire, Ani...
120
Voted
GRC
2008
IEEE
15 years 4 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu