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AAAI
2008
14 years 29 days ago
Constraint Projections for Ensemble Learning
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang ...
LREC
2010
154views Education» more  LREC 2010»
14 years 2 days ago
Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins...
Bert Réveil, Jean-Pierre Martens, Henk van ...
UAI
2001
14 years 12 hour ago
Improved learning of Bayesian networks
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...
Tomás Kocka, Robert Castelo
FSS
2008
110views more  FSS 2008»
13 years 10 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
WCRE
2007
IEEE
14 years 4 months ago
Dynamic Protocol Recovery
Dynamic protocol recovery tries to recover a component’s sequencing constraints by means of dynamic analysis. This problem has been tackled by several automaton learning approac...
Jochen Quante, Rainer Koschke