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ACL
1998
13 years 11 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
NPL
2006
90views more  NPL 2006»
13 years 9 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
ICPR
2006
IEEE
14 years 10 months ago
Classification of Team Behaviors in Sports Video Games
This paper considers the application of pattern recognition techniques in modern computer games. Towards the problem of realizing more life-like behavior for artificial game chara...
Christian Thurau, Thomas Hettenhausen, Christian B...
ICPR
2004
IEEE
14 years 10 months ago
Tracking Periodic Motion using Bayesian Estimation
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
Andrew M. Wallace, Huiyu Zhou, Patrick R. Green
UM
2009
Springer
14 years 4 months ago
Just-in-Time Adaptivity through Dynamic Items
Adaptive course generation becomes more appropriate for realistic usage scenarios and more flexible if it includes mechanisms deciding just-in-time which content, which exercises,...
Carsten Ullrich, Tianxiang Lu, Erica Melis