Meta-learning system
AssigneeSiemens Healthcare GmbH
InventorMartin KRAUS
Life of this patent
Estimating the term…
Abstract
A meta-learning system includes an inner function computation module, adapted to compute output data from applied input data according to an inner model function, depending on model parameters; an error computation module, adapted to compute errors indicating mismatches between the computed output data and target values; a state update module, adapted to update the model parameters of the inner model function according to an updated state, updated based on a current state of the state update module, in response to an error received from the error computation module. The state update module is learned to adjust the model parameters of the inner model function, such that a following training of the inner model function with training data is improved.
Claims32
A meta-learning system, comprising:
- an inner function computation module, adapted to compute output data from applied input data according to an inner model function, depending on model parameters;
- an error computation module, adapted to compute errors indicating mismatches between the output data computed and target values;
- and
- a state update module, adapted to update the model parameters of the inner model function according to an updated state, updated based on a current state of the state update module in response to an error received from the error computation module, wherein the state update module is learned to adjust the model parameters of the inner model function such that a following training of the inner model function with training data is improved.
Dependencies are inferred from the claim text.