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ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 7 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
SIGKDD
2008
132views more  SIGKDD 2008»
15 years 7 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
216
Voted
IS
2007
15 years 7 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
PVLDB
2008
124views more  PVLDB 2008»
15 years 6 months ago
Scheduling shared scans of large data files
We study how best to schedule scans of large data files, in the presence of many simultaneous requests to a common set of files. The objective is to maximize the overall rate of p...
Parag Agrawal, Daniel Kifer, Christopher Olston
MST
2010
140views more  MST 2010»
15 years 5 months ago
Approximability of Clausal Constraints
We study a family of problems, called Maximum Solution (Max Sol), where the objective is to maximise a linear goal function over the feasible integer assignments to a set of variab...
Peter Jonsson, Gustav Nordh