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» Predictive Modeling with Heterogeneous Sources
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ACL
2006
13 years 10 months ago
Modelling Lexical Redundancy for Machine Translation
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
David Talbot, Miles Osborne
ICST
2009
IEEE
14 years 3 months ago
A Model Building Process for Identifying Actionable Static Analysis Alerts
Automated static analysis can identify potential source code anomalies early in the software process that could lead to field failures. However, only a small portion of static ana...
Sarah Smith Heckman, Laurie A. Williams
EMNLP
2009
13 years 6 months ago
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
Arne Mauser, Sasa Hasan, Hermann Ney
ML
2008
ACM
13 years 8 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
RE
2005
Springer
14 years 2 months ago
Modelling Assumptions and Requirements in the Context of Project Risk
The importance of assumptions in Requirements Engineering has long been recognised. However, to the best of our knowledge, no quantitative models for the relation between assumpti...
Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Da...