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» On the Complexity of Exclusion Algorithms for Optimization
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CADE
2010
Springer
15 years 7 months ago
Global Caching for Coalgebraic Description Logics
Coalgebraic description logics offer a common semantic umbrella for extensions of description logics with reasoning principles outside relational semantics, e.g. quantitative uncer...
Rajeev Goré, Clemens Kupke, Dirk Pattinson,...
EMNLP
2010
15 years 4 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
15 years 1 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
16 years 2 days ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
ALT
2006
Springer
16 years 3 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen