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133
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
When facing the question of learning languages in realistic settings, one has to tackle several problems that do not admit simple solutions. On the one hand, languages are usually...
168
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
135
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
152
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
130
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ECOOP
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. While real-time garbage collection is now available in production virtual machines, the lack of generational capability means applications with high allocation rates are ...