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» Learning programs from noisy data
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166
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AMDO
2010
Springer
15 years 20 days ago
Multiple-Activity Human Body Tracking in Unconstrained Environments
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
140
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AAAI
2011
14 years 2 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
125
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UM
2007
Springer
15 years 8 months ago
Evaluating a Simulated Student Using Real Students Data for Training and Testing
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
116
Voted
BMCBI
2004
127views more  BMCBI 2004»
15 years 2 months ago
MolTalk - a programming library for protein structures and structure analysis
Background: Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively min...
Alexander V. Diemand, Holger Scheib
135
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AVI
2004
15 years 4 months ago
Visualizing programs with Jeliot 3
We present a program visualization tool called Jeliot 3 that is designed to aid novice students to learn procedural and object oriented programming. The key feature of Jeliot is t...
Andrés Moreno, Niko Myller, Erkki Sutinen, ...