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EMNLP
2008
13 years 11 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
ICONIP
2008
13 years 11 months ago
On Weight-Noise-Injection Training
Abstract. While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, ...
Kevin Ho, Chi-Sing Leung, John Sum
EOR
2008
90views more  EOR 2008»
13 years 9 months ago
Quality of service statistics over heterogeneous networks: Analysis and applications
Heterogeneous wireless/wired networks and ubiquitous environments are gaining ever more attention by research community. To properly control and manage such puzzles a deep knowled...
Alessio Botta, Antonio Pescapè, Giorgio Ven...
IJAR
2008
114views more  IJAR 2008»
13 years 9 months ago
A definition of subjective possibility
: Based on the setting of exchangeable bets, this paper proposes a subjectivist view of numerical possibility theory. It relies on the assumption that when an agent constructs a pr...
Didier Dubois, Henri Prade, Philippe Smets
TKDE
2002
141views more  TKDE 2002»
13 years 9 months ago
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
We consider the problem of finding a set of attribute values that give a high quality binary segmentation of a database. The quality of a segmentation is defined by an objective fu...
Yasuhiko Morimoto, Takeshi Fukuda, Takeshi Tokuyam...