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Learning Using Privileged Information (LUPI) is a new paradigm that uses an intelligent agent (a ‘nontrivial teacher’) to supplement standard training data in the context of supervised learning algorithms. Rather than using standard, brute-force methods to address the general problem of inference and the construction of intelligent machines, the LUPI learning model allows the teacher to add additional (privileged) information to the training examples.
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This Biotech Symposium will focus on perspectives on big data in biology from leading practitioners in the field.
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Circadian (~24 hour) clocks are endogenous mechanisms that time the recurring, daily activities observed in most organisms. These clocks are genetically regulated, and generate biochemical oscillations within individual cells composing most tissues. Recently our laboratory has searched for and identified genes that affect the homeostatic regulation of sleep in Drosophila. This research has uncovered specific neurons whose activity promotes sleep.
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