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» Using model knowledge for learning inverse dynamics
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127
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AIIA
2007
Springer
15 years 10 months ago
Curricula Modeling and Checking
In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical language, groun...
Matteo Baldoni, Cristina Baroglio, Elisa Marengo
133
Voted
NAACL
2007
15 years 5 months ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu
148
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
138
Voted
EDM
2010
154views Data Mining» more  EDM 2010»
15 years 2 months ago
Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessme
Dynamic assessment (DA) has been advocated as an interactive approach to conduct assessments to students in the learning systems as it can differentiate student proficiency at a fi...
Mingyu Feng, Neil T. Heffernan
140
Voted
CVPR
2008
IEEE
16 years 5 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua