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GPEM
2002
104views more  GPEM 2002»
13 years 5 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
TSE
2010
148views more  TSE 2010»
13 years 3 months ago
Program Behavior Discovery and Verification: A Graph Grammar Approach
—Discovering program behaviors and functionalities can ease program comprehension and verification. Existing program analysis approaches have used text mining algorithms to infer...
Chunying Zhao, Jun Kong, Kang Zhang
ARTMED
2006
108views more  ARTMED 2006»
13 years 5 months ago
Constructing explanatory process models from biological data and knowledge
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...
ECAI
2004
Springer
13 years 9 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
WWW
2004
ACM
14 years 6 months ago
An automatic semantic relationships discovery approach
An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relat...
Hai Zhuge, Liping Zheng, Nan Zhang 0007, Xiang Li