A serial algorithm is only a simplified version of a latent parallel algorithm.
Archive for the ‘Research’ Category
Serial VS Parallel
Posted in Fun, Musing, Research, tagged algorithm, parallel, serial on 21 February 2012| Leave a Comment »
On reporting acceptance rates
Posted in Musing, Research, tagged acceptance rate, competition on 16 February 2012| Leave a Comment »
Just to be clear, this is my own biased opinion on the issue.
To people that report acceptance rates in their publication list:
- Science is not a race.
- Published papers are not awards.
- Conferences are not exclusive clubs.
If you really need to boast, at least do it with more taste, please.
Acceptance rate is just awkward.
T.Rex promotional tour
Posted in PhD, Research, Travel, tagged science week, T.Rex, wsdm2012, Yahoo on 5 February 2012| Leave a Comment »
I will be traveling to USA for the WSDM’12 conference to present our work on news recommendation: “From Chatter to Headlines: Harnessing the Real-Time Web for Personalized News Recommendation”. T.Rex (Twitter based RECommendation System) blends signals from social circles, personal interests and popularity to learn a personalized ranking function for online news articles. A more detailed explanation will follow as an invited post on another blog.
At WSDM I will be giving a 4 minutes spotlight presentation and then I will explain the details in a long poster session.
Then, I will fly to California to present T.Rex at the annual Yahoo! Labs meeting: Science Week. There I will have a 10 minutes slot in a workshop about news experiments and a 1 minute presentation in a fun competition called “60 seconds of science”.
It’s going to be challenging to present the same topic in so many different formats!
AI & ML Classes
Posted in Research, tagged artificial intelligence, class, learning, machine learning, Stanford on 23 December 2011| Leave a Comment »
Finally over, the AI and ML Stanford classes finished last week.
The courses were a really interesting experience, and I think I learned a lot from them.
Apart from the technical content, which is very useful, I learned things about myself.
For instance, how long I can stick and persevere, how much motivation plays an important role in what I do, how well I can manage my time and how much I can push my limits.
And now, because I am proud of myself:
<boast>
I managed to finish the advanced track in both classes and ended in the top quartile of the final ranking for the AI class!
The ML class had no ranking.
</boast>
Next to come: NLP and PGM, Models and Algorithms.