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» Word Importance Discrimination Using Context Information
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APSEC
2006
IEEE
15 years 4 months ago
Project Replayer with Email Analysis - Revealing Contexts in Software Development
In many software development projects, people tend to repeat same mistakes due to lack of shared knowledge from past experiences. Generally, it is very difficult to manually find ...
Kimiharu Okura, Keita Goto, Noriko Hanakawa, Shinj...
CAISE
2009
Springer
15 years 4 months ago
A Goal Modeling Framework for Self-contextualizable Software
Self-contextualizability refers to the system ability to autonomously adapt its behaviour to context in order to maintain its objectives satisfied. In this paper, we propose a mod...
Raian Ali, Fabiano Dalpiaz, Paolo Giorgini
CEAS
2007
Springer
15 years 4 months ago
Hardening Fingerprinting by Context
Near-duplicate detection is not only an important pre and post processing task in Information Retrieval but also an effective spam-detection technique. Among different approache...
Aleksander Kolcz, Abdur Chowdhury
SIGIR
2008
ACM
14 years 9 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
FUIN
2010
112views more  FUIN 2010»
14 years 8 months ago
An Empirical Study of QBF Encodings: from Treewidth Estimation to Useful Preprocessing
From an empirical point of view, the hardness of quantified Boolean formulas (QBFs), can be characterized by the (in)ability of current state-of-the-art QBF solvers to decide abo...
Luca Pulina, Armando Tacchella