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EMNLP
2007
13 years 10 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki
GRAMMARS
2000
97views more  GRAMMARS 2000»
13 years 8 months ago
Proof-Nets, Hybrid Logics and Minimalist Representations
Inthis paper, we aim at giving alogical account of the representationalist view on minimalist grammars by refering to the notion of Proof-Net in Linear Logic. We propose at the sam...
Alain Lecomte
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 8 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
SMARTNET
2000
13 years 10 months ago
Towards Dynamic Composition of Hybrid Communication Services
: Due to the deregulation of the telecom network and the Internet, users will have access to an increasing number of heterogeneous communication services and will need to adapt the...
Jacqueline Floch, Rolv Bræk
ICCD
2000
IEEE
75views Hardware» more  ICCD 2000»
14 years 5 months ago
Hybridizing and Coalescing Load Value Predictors
Most well-performing load value predictors are hybrids that combine multiple predictors into one. Such hybrids are often large. To reduce their size and to improve their performan...
Martin Burtscher, Benjamin G. Zorn