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Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes
The k-dimensional coding schemes refer to a collection of methods that attempt to represent
data using a set of representative k-dimensional vectors and include nonnegative matrix …
data using a set of representative k-dimensional vectors and include nonnegative matrix …
Model-protected multi-task learning
Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In
contrast, in single-task learning (STL) each individual task is learned independently. MTL …
contrast, in single-task learning (STL) each individual task is learned independently. MTL …
[PDF][PDF] Multi-Task Learning and Its Applications to Biomedical Informatics.
J Zhou - 2014 - core.ac.uk
In many fields one needs to build predictive models for a set of related machine learning
tasks, such as information retrieval, computer vision and biomedical informatics …
tasks, such as information retrieval, computer vision and biomedical informatics …
[کتاب][B] The complexity of algorithmic hypothesis class
T Liu - 2016 - search.proquest.com
Statistical learning theory provides the mathematical and theoretical foundations for
statistical learning algorithms and inspires the development of more efficient methods. It is …
statistical learning algorithms and inspires the development of more efficient methods. It is …