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IDA
2007
Springer
15 years 1 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
109
Voted
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 7 months ago
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm
The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have ...
Emma Carter, Steve Ebdon, Clive Neal-Sturgess
120
Voted
DAGSTUHL
2008
15 years 3 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
ICSE
2012
IEEE-ACM
13 years 4 months ago
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
—For a large and evolving software system, the project team could receive a large number of bug reports. Locating the source code files that need to be changed in order to fix th...
Jian Zhou, Hongyu Zhang, David Lo
109
Voted
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
15 years 8 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...