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TEC
2010
126views more  TEC 2010»
14 years 8 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett
98
Voted
PAMI
2008
139views more  PAMI 2008»
15 years 1 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...
118
Voted
COLING
2010
14 years 8 months ago
Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation
We describe an approach to automatically learn reordering rules to be applied as a preprocessing step in phrase-based machine translation. We learn rules for 8 different language ...
Dmitriy Genzel
AIED
2005
Springer
15 years 7 months ago
Iterative Evaluation of a Large-Scale, Intelligent Game for Language Learning
Educational content developers, including AIED developers, traditionally make a distinction between formative evaluation and summative evaluation of learning materials. Although th...
W. Lewis Johnson, Carole R. Beal
123
Voted
JMLR
2006
156views more  JMLR 2006»
15 years 1 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...