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» Learning Algorithms for Domain Adaptation
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ADMI
2010
Springer
14 years 8 days ago
Probabilistic Modeling of Mobile Agents' Trajectories
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Stepán Urban, Michal Jakob, Michal Pechouce...
IJCAI
2007
14 years 5 days ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
NAACL
2007
14 years 5 days ago
Automatic Assessment of Student Translations for Foreign Language Tutoring
This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Language Learning (CALL) application. We describe a computer game...
Chao Wang, Stephanie Seneff
AIPS
2004
14 years 4 days ago
Trading Places: How to Schedule More in a Multi-Resource Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
ACL
2006
14 years 4 days ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan