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Optimal minimal-perturbation university timetabling with faculty preferences
In the university timetabling problem, sometimes additions or cancellations of course sections occur shortly before the beginning of the academic term, necessitating last-minute teaching staffing changes.
Unsupervised feature learning for audio classification using convolutional deep belief networks
In this paper, we apply convolutional deep belief networks to audio data and empirically evaluate them on various audio classification tasks.
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