Learning how to separate

Learning How to Separate

The main question addressed in the present work is how to find effectively a recursive function separating two sets drawn arbitrarily from a given collection of disjoint sets. In particular, it is investigated in which cases it is possible to satisfy the following additional constraints: confidence where the learner converges on all data-sequences; conservativeness where the learner abandons on...

From Learning Music to Learning to Separate

Making machines that can understand musical structure has long been one of the holy grails of audio processing, separating overlapping sounds has been another. Here we present a simple framework initialy used for the first task, which has come to make itself very useful for source separation. We show that the same type of reasoning that allows one to find the building elements of a musical audi...

Why Learning How to Chase Butterflies Matters: A Response to Recent Commentaries

Learning How to Swim and Improving Self-Efficacy: Physical Education Needs to be Taken More Seriously

Learning How to Swim and Improving Self-Efficacy: Physical Education Needs to be Taken More Seriously M. Taslimi P. Iraannejaad, Ph.D. Z. Lebaadi, Ph.D. Physical education is not just for improving the functions and well-being of the body, as it can help with the improvement of the psychological functions as well. A physical, and enjoyable, activity such as swimming, as a p...

How to Separate the Signal from the Backgroundw

In many applications like radio astronomy and electron spectroscopy three sources contribute to the measured signal: the desired image, the noise, and an unknown slowly varying background. The inferential problem is to separate the signal from the noise and the background. We accomplish this task employing Bayesian probability theory.