The unreasonable effectiveness of data

nospam@example.com (Jochen Wersdörfer) — Sat, 20 Jun 2009 20:32:53 +0200

We recently had a visitor to the Gatsby Unit talk about his work in reinforcement learning, in particular the use of planning and forward models to speed up the learning of difficult tasks. The substance of his talk was good, but that’s not what I want to talk about: it was the motivation he gave ... [-->]

From my own experience, i also think, that learning on a small scale is solved. And i also believe, that structured data alone cannot enable semantic interpretation. So, building up models from huge amounts of data seems to be the only option today. But still - we as humans don't have to read the whole web to learn about a language... something is missing there.

Graph Databases are the New Black

nospam@example.com (Jochen Wersdörfer) — Fri, 19 Jun 2009 21:47:44 +0200

via Princess Polymath - (Synedra):

When I started working on computers, the main thing people used databases for was storing tabular data. Sales reports, inventory records, lists of things. Relational databases were cool because you could associate a transaction in your sales table with an item in your inventory table. As the inte ... [-->]

Graph databases are hot atm. Even if you can get enough well structured data (which is really difficult, because nowadays most "content-providers" still struggeling providing proper CSV) - how can you exploit the new power for improved search or site-navigation interfaces? There's a lot of work to do...

linkdump - semantic_web

The unreasonable effectiveness of data

Graph Databases are the New Black