https://www.selleckchem.com/products/erastin.html
e., effectively and selectively soft-assigning this new task to multiple representative models over feature learning library. Then 1) the new task with a higher outlier probability will be judged as a new representative, and used to redefine both feature learning library and representative models over time; or 2) the new task with lower outlier probability will only refine the feature learning library. For model optimization, we cast this lifelong learning problem as an alternating direction minimization problem as a new task comes. Fin
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