Choosing to learn or chosen to learn: the experience ofSkills for Lifelearners

To Learn or Not to Learn ...

Multiagent systems in which agents interact with each other are now being proposed as a solution to many problems which can be grouped together under the \distributed problem solv-ing" umbrella. For such systems to work properly , it is necessary that agents learn from their environment and adapt their behaviour accordingly. In this paper we present a system which uses a combination of neuro{fu...

To Learn or Not to Learn Features for Deformable Registration?

Feature-based registration has been popular with a variety of features ranging from voxel intensity to Self-Similarity Context (SSC). In this paper, we examine the question on how features learnt using various Deep Learning (DL) frameworks can be used for deformable registration and whether this feature learning is necessary or not. We investigate the use of features learned by different DL met...

To Learn or Not do Learn

Learning to Perceive or Perceiving to Learn?

Eleanor Jack Gibson built her theory of perceptual learning over a 70-year research career. She published her first paper on perceptual learning in 1932 (J. J. Gibson, Jack, & Raffel, 1932) and her last book in 2002 (E. J. Gibson, 2002). There is a clear thread from beginning to end, but she was not dogmatic in her ideas; her theories were always informed by data, and data collection was often ...

Learning to Measure or Measuring to Learn?

Increasingly, however, the focus has shifted away from defining ever more metrics and subjecting measurement results to increasingly sophisticated statistical analyses to an emphasis of understanding software phenomena. This has led to more case studies, empirical work like field studies, as well as experiments. This emphasis can be clearly seen in this year's METRICS program. With this, the me...