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» From Requirements to Design: Formalizing the Key Steps
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NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
CSE
2009
IEEE
15 years 11 months ago
Privacy-Enhanced Event Scheduling
—Event schedulers, well-known from groupware and social software, typically share the problem that they disclose detailed availability patterns of their users. This paper disting...
Benjamin Kellermann, Rainer Böhme
GIS
2002
ACM
15 years 6 months ago
Design of field wrappers for mobile field data collection
In mobile field data collection, data gatherer requires to get geospatial information service to support in navigating to the right locations, describing context of observed objec...
Peisheng Zhao, Sarah Nusser, Leslie L. Miller
DASFAA
2007
IEEE
160views Database» more  DASFAA 2007»
16 years 28 days ago
Implementation of Bitmap Based Incognito and Performance Evaluation
In the era of the Internet, more and more privacy-sensitive data is published online. Even though this kind of data are published with sensitive attributes such as name and social ...
Hyun-Ho Kang, Jae-Myung Kim, Gap-Joo Na, Sang-Won ...
FASE
2008
Springer
15 years 8 months ago
Verification of Architectural Refactorings by Rule Extraction
With the success of model-driven development as well as component-based and service-oriented systems, models of software architecture are key artefacts in the development process. ...
Dénes Bisztray, Reiko Heckel, Hartmut Ehrig