Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Peer assessment is a technique that has been successfully employed in a variety of academic disciplines, and which is considered to be effective in developing student’s higher c...
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
Most current theories about collective cognitive activities in limited groups apply to structurally closed co-operative situations Here we propose to work in the framework of inte...