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» Learning with the Set Covering Machine
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SEKE
2007
Springer
14 years 3 months ago
An Approach to Software Testing of Machine Learning Applications
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Chris Murphy, Gail E. Kaiser, Marta Arias
ESANN
2006
13 years 10 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi
ACL
1998
13 years 10 months ago
Ambiguity Preserving Machine Translation using Packed Representations
In this paper we present an ambiguity preserving translation approach which transfers ambiguous LFG f-structure representations. It is based on packed f-structure representations ...
Martin C. Emele, Michael Dorna
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 2 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
DIAGRAMS
2004
Springer
14 years 2 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...