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» On the Complexity of Train Assignment Problems
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ALENEX
2004
121views Algorithms» more  ALENEX 2004»
15 years 5 months ago
Experimental Comparison of Shortest Path Approaches for Timetable Information
We consider two approaches that model timetable information in public transportation systems as shortestpath problems in weighted graphs. In the time-expanded approach every event...
Evangelia Pyrga, Frank Schulz, Dorothea Wagner, Ch...
143
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AI
2008
Springer
15 years 4 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
139
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ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 4 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
116
Voted
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 9 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
BMCBI
2005
169views more  BMCBI 2005»
15 years 4 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader