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Multiclass Learning with Simplex Coding
In this paper we dicuss a novel framework for multiclass learning, defined by a suitable coding/decoding strategy, namely the simplex coding, that allows to generalize to multiple classes a relaxation approach commonly used in binary classification.
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
To learn reliable rules that can generalize to novel situations, the brain must be capable of imposing some form of regularization.
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