Supervised Self-Treatment

Effects of Self-healing on Self-compassion, self-steam and Aggression of Poorly Supervised Teen Girls

Introduction: The aim of this study was to investigate the effectiveness of self-healing training on self-compassion, self-esteem, and aggression in poorly supervised teen girls. Method: The research method was quasi-experimental with a pretest-posttest-follow-up design with a control group. The research population included poorly supervised teen girls in Isfahan that were for sake of this res...

Self-supervised ARTMAP

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semi-supervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowle...

Self Supervised Boosting

Boosting algorithms and successful applications thereof abound for classification and regression learning problems, but not for unsupervised learning. We propose a sequential approach to adding features to a random field model by training them to improve classification performance between the data and an equal-sized sample of “negative examples” generated from the model’s current estimate of th...

Self-organization of Supervised Models

Self-Supervised Intrinsic Image Decomposition

Intrinsic decomposition from a single image is a highly challenging task, due to its inherent ambiguity and the scarcity of training data. In contrast to traditional fully supervised learning approaches, in this paper we propose learning intrinsic image decomposition by explaining the input image. Our model, the Rendered Intrinsics Network (RIN), joins together an image decomposition pipeline, ...