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» Classifying Problems into Complexity Classes
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111
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BALT
2010
14 years 7 months ago
Bringing Domain Knowledge to Pattern Matching
Abstract. This paper addresses the pattern matching problem for model transformation languages. Despite being an NP-complete problem, the pattern matching can be solved efficiently...
Agris Sostaks
106
Voted
IDA
2002
Springer
15 years 13 days ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
78
Voted
BMCBI
2008
106views more  BMCBI 2008»
15 years 24 days ago
Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spect
Background: Mass spectrometry for biological data analysis is an active field of research, providing an efficient way of high-throughput proteome screening. A popular variant of m...
Wouter Meuleman, Judith Y. M. N. Engwegen, Marie-C...
119
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IJSI
2008
156views more  IJSI 2008»
15 years 20 days ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
ICML
2003
IEEE
16 years 1 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller