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5 results for ITL

Improved ITL descriptors using explicit inner product spaces for scalable systems.

problem Scalability issues in ITL due to high computational complexity.
method Explicit inner product space (EIPS) kernels for ITL, leveraging data-independent basis.
result Superior performance of EIPS-ITL estimators and combined NT-KAF using EIPS-ITL cost functions.

Comparing with traditional learning criteria, such as mean square error (MSE), the minimum error entropy (MEE) criterion is superior in nonlinear and non-Gaussian signal processing and machine learning. The argument of the logarithm in Renyis entropy estimator, called information potential (IP), is a popular MEE cost i…

2017-10-11abs ↗pdf ↗

New approach to continual learning prioritizes adaptation over retention.

problem Catastrophic forgetting in lifelong learning models.
method Formalized CL as an online optimization problem, introduced Transfer Efficiency, and derived a Critical Task Duration.
result Retention can hinder real-time adaptation in non-stationary environments.