Observational Learning from a Radical-Behavioristic Viewpoint

Learning From An Optimization Viewpoint

Optimization has always played a central role in machine learning and advances in the field of optimization and mathematical programming have greatly influenced machine learning models. However the connection between optimization and learning is much deeper : one can phrase statistical and online learning problems directly as corresponding optimization problems. In this dissertation I take this...

Managing radical surgery: notes from the patient's viewpoint.

Based on a diary which was kept while preparing for and undergoing pan-proctocolectomy, the paper describes the process of coming to terms with an ileostomy. A number of stages in the process are identified: anticipation, reorientation, trauma, maintenance of selfimage and accommodation. The social-psychological strategies for coping with the process are elaborated.

Behavioristic, Evidentialist, and Learning Models of Statistical Testing

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Towards Imitation Learning from a Viewpoint of an Internal Observer

How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a constructivist approach towards both establishing the design principle for an intelligent robot and understanding human intelligence. This paper argue two issues towards imitation by an internal observer: one concerns ...

The radical accuracy of the subjective viewpoint.