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» Models for Incomplete and Probabilistic Information
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HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
15 years 5 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
DOOD
1995
Springer
124views Database» more  DOOD 1995»
15 years 2 months ago
Querying Semistructured Heterogeneous Information
Abstract. Semistructured data has no absolute schema xed in advance and its structure may be irregular or incomplete. Such data commonly arises in sources that do not impose a rigi...
Dallan Quass, Anand Rajaraman, Yehoshua Sagiv, Jef...
IUI
2006
ACM
15 years 5 months ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
ECIR
2006
Springer
15 years 16 days ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
91
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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 5 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...