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SIGIR
2010
ACM
15 years 6 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
CVPR
2009
IEEE
15 years 6 months ago
Imbalanced RankBoost for efficiently ranking large-scale image/video collections
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...
Michele Merler, Rong Yan, John R. Smith
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 6 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu
ICCS
2007
Springer
15 years 6 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 6 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
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