Towards Life-Long Meta Learning
نویسندگان
چکیده
We reformulate algorithm selection as a time allocation problem: all candidate algorithms are run in parallel, and their relative priorities are continually updated based on its current time to solution, estimated according to a parametric model that is trained and used while solving a sequence of problems.
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تاریخ انتشار 2005