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ECML
1993
Springer
14 years 2 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
EPIA
1995
Springer
14 years 1 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
DSN
2008
IEEE
13 years 12 months ago
Enhanced server fault-tolerance for improved user experience
Interactive applications such as email, calendar, and maps are migrating from local desktop machines to data centers due to the many advantages offered by such a computing environ...
Manish Marwah, Shivakant Mishra, Christof Fetzer
ACL
2008
13 years 11 months ago
Measure Word Generation for English-Chinese SMT Systems
Measure words in Chinese are used to indicate the count of nouns. Conventional statistical machine translation (SMT) systems do not perform well on measure word generation due to ...
Dongdong Zhang, Mu Li, Nan Duan, Chi-Ho Li, Ming Z...
EMNLP
2008
13 years 11 months ago
Language and Translation Model Adaptation using Comparable Corpora
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...