ONLINE LEARNING OF MODEL PARAMETERS
First Claim
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1. A computer-implemented method comprising:
- obtaining a first target value in a target sequence and a feature vector corresponding to the first target value, the feature vector including a plurality of elements;
modifying the feature vector to obtain a modified feature vector by reducing an absolute value of at least one element of the feature vector;
generating an inverse Hessian matrix recursively from a previous inverse Hessian matrix using at least the feature vector and the modified feature vector; and
updating parameters of a model using the inverse Hessian matrix.
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Abstract
Online learning of model parameters is performed by obtaining a first target value in a target sequence and a feature vector corresponding to the first target value. The feature vector includes a plurality of elements. The feature vector can be modified to obtain a modified feature vector by reducing an absolute value of at least one element of the feature vector. An inverse Hessian matrix can be generated recursively from a previous inverse Hessian matrix using at least the feature vector and the modified feature vector. Parameters of a model can be updated using the inverse Hessian matrix.
2 Citations
20 Claims
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1. A computer-implemented method comprising:
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obtaining a first target value in a target sequence and a feature vector corresponding to the first target value, the feature vector including a plurality of elements; modifying the feature vector to obtain a modified feature vector by reducing an absolute value of at least one element of the feature vector; generating an inverse Hessian matrix recursively from a previous inverse Hessian matrix using at least the feature vector and the modified feature vector; and updating parameters of a model using the inverse Hessian matrix. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer program product including one or more computer readable storage mediums collectively storing program instructions that are executable by a processor or programmable circuitry to cause the processor or programmable circuitry to perform operations comprising:
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obtaining a first target value in a target sequence and a feature vector corresponding to the first target value, the feature vector including a plurality of elements; modifying the feature vector to obtain a modified feature vector by reducing an absolute value of at least one element of the feature vector; generating an inverse Hessian matrix recursively from a previous inverse Hessian matrix using at least the feature vector and the modified feature vector; and updating parameters of a model using the inverse Hessian matrix. - View Dependent Claims (12, 13, 14, 15)
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16. An apparatus comprising:
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a processor or a programmable circuitry; and one or more computer readable mediums collectively including instructions that, when executed by the processor or the programmable circuitry, cause the processor or the programmable circuitry to; obtain a first target value in a target sequence and a feature vector corresponding to the first target value, the feature vector including a plurality of elements; modify the feature vector to obtain a modified feature vector by reducing an absolute value of at least one element of the feature vector; generate an inverse Hessian matrix recursively from a previous inverse Hessian matrix using at least the feature vector and the modified feature vector; and update parameters of a model using the inverse Hessian matrix. - View Dependent Claims (17, 18, 19, 20)
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Specification