Boosting as a trainer - Githubissues

accosmin / nano

C++ library [machine learning & numerical optimization] - superseeded by libnano

MIT License

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Closed accosmin closed 6 years ago

accosmin commented 7 years ago

Boosting as a trainer:

given a loss function l
given a model M and a default trainer T for it
construct the linear model LM as a weighted sum of M_i in a boosting fashion that minimize a weighted loss

To analyze if this is feasible or that makes sense.

See for example:

accosmin commented 6 years ago

Not useful anymore: residual networks act as an ensemble.