Personal learning environments (PLEs) and personal learning networks (PLNs) are well-known concepts. A personal learning network cluster is a small group of people who regularly interact academically and whose PLNs have a non-empty intersection that includes all the other members. At university level PLN clusters form spontaneously among students and are known to last over an extended period of...

As machine learning is applied to increasingly complex tasks, it is likely that the diverse challenges encountered can only be addressed by combining the strengths of different learning algorithms. We examine this aspect of learning through a case study grounded in the robot soccer context. The task we consider is Keepaway, a popular benchmark for multiagent reinforcement learning from the simu...

Forschungsplattform Alexandria https://www.alexandria.unisg.ch | 29.01.2016 The research scope in concept mapping research can be extended with the investigation of complementary concept mapping approaches which are visual representations that complement the classical node link diagrams from Novak. To do so, concept mapping researchers can draw inspiration from architects. This article presents...

Computational Intelligence (CI) is a sub-branch of Artificial Intelligence paradigm focusing on the study of adaptive mechanisms to enable or facilitate intelligent behavior in complex and changing environments. There are several paradigms of CI [like artificial neural networks, evolutionary computations, swarm intelligence, artificial immune systems, fuzzy systems and many others], each of the...

Identifying the complementary relationship between products, like a cartridge to a printer, is a very useful technique to provide recommendations. These are typically purchased together or within a short time frame and thus online retailers benefit from it. Existing approaches rely heavily on transactions and therefore they suffer from: (1) the cold start problem for new products; (2) the inabi...

I develop a growth model in which R&D resources can be directed either to the discovery of new technologies (inventions) or to the improvement of the quality of machines without altering their underlying technology (innovations). Learning-by-doing is an important determinant of the relative share of resources allocated to inventive versus innovative activity. The dynamics generate endogenous ec...

A new type of organic-inorganic hybrid supramolecular polymer has been prepared by using the base group modified polyoxometalate clusters as monomers, where the hydrogen bonds between the complementary base pairs act as the driving force.

This paper describes a machine learningbased approach that uses word embedding features to recognize drug names from biomedical texts. As a starting point, we developed a baseline system based on Conditional Random Field (CRF) trained with standard features used in current Named Entity Recognition (NER) systems. Then, the system was extended to incorporate new features, such as word vectors and...