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» Model Selection and Error Estimation
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144
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BPM
2008
Springer
185views Business» more  BPM 2008»
15 years 5 months ago
Applying Patterns during Business Process Modeling
Although the business process community has put a major emphasis on patterns, notably the famous workflow patterns, only limited support for using patterns in today's business...
Thomas Gschwind, Jana Koehler, Janette Wong
150
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Optimizing the acoustic modeling from an unbalanced bi-lingual corpus
Phoneme set clustering of accurate modeling is important in the task of multilingual speech recognition, especially when each of the available language training corpora is mismatc...
Dau-cheng Lyu, Ren-yuan Lyu
93
Voted
AIED
2007
Springer
15 years 7 months ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
158
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FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 7 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
IVC
2007
124views more  IVC 2007»
15 years 3 months ago
Outlier rejection in high-dimensional deformable models
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...
Christian Vogler, Siome Goldenstein, Jorge Stolfi,...