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» Using model knowledge for learning inverse dynamics
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131
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NCA
2002
IEEE
15 years 3 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
137
Voted

Publication
159views
14 years 2 months ago
Evaluating the Effectiveness of Board Game Usage to Teach GSE Dynamics
When preparing students for an industrial or academic career in software engineering, educational institutions need to address the globally distributed character of the software en...
Kevin Dullemond, Ben van Gameren, Rini van Solinge...
146
Voted
CVPR
2004
IEEE
16 years 5 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
ECSQARU
2005
Springer
15 years 9 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
GREC
2003
Springer
15 years 8 months ago
User Adaptation for Online Sketchy Shape Recognition
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
Zhengxing Sun, Liu Wenyin, Binbin Peng, Bin Zhang,...