From Horizontal to Vertical Collaborative Clustering using Generative Topographic Maps

We have shared large cross-domain knowledge bases [4], enriched them with linguistic and distributional information [7, 5, 2] and created contin- uous evolution feedback loops

In the past 20 years, there have been significant advances in the knowledge and management of rare pulmonary diseases. This has been made possible by several factors, including: 1)

Current French breeding schemes are pyramidal: at bottom, a large number of sheep breeders are only users of genetic progress, above, a selection nucleus is composed of

For instance, a collaborative location-aware filtering approach to recommend POIs to mobile users was proposed in [16], which exploits the location as a relevant element for

12 applied GTM to create “universal” maps of chemical space, that easily distinguished active and inactive compounds for more than 400 ChEMBL targets, yielding an

In this article, we propose a method where we combine a collaborative framework with the topological structure of the Generative Topo- graphic Mapping (GTM) algorithm and take

In fact, most of us (and I include myself here) have done rather worse than that – in that having identified the need to think beyond growth we have then reverted to the more

But this time, it counts 9 parameters which are presented in Tab. The characteristic time τ is derived from the coefficient β in Eqn. It worths noting that the elastic