linkstream2 microblog

http://www.nytimes.com/2013/02/15/sports/oscar-pistorius-shooting-south-africa.html?_r=0

https://twitter.com/cybertheorist/status/301935155843584000/photo/1

http://nygenome.org/blog/chronological-atlas-human-brain-development-coming

nice maps

http://cacm.acm.org/magazines/2013/1/158775-human-mobility-characterization-from-cellular-network-data/fulltext

Could this be coupled to sequencing readout for very long term memory?
http://web.mit.edu/newsoffice/2013/cell-circuits-remember-their-history-0210.html

Some thoughts on a good paper giving intuition on machine learning approaches

http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
http://dl.acm.org/citation.cfm?id=2347755

In particular, the paper gives good intuition about:

– overfitting (e.g. how it’s related to multiple testing & bias v variance)
– the curse of dimensionality (in high-D all neighbors look the same)
– the non-practicality of theoretical guarantees
– how different frontiers can give the same prediction
– ensembles (which reduce variance greatly without increasing bias that much)
– ensembles vs Bayesian model averaging (which essentially select the best model)

amazing that labeled foods from large vendors would be so inaccurate
http://www.nytimes.com/video/2013/02/12/opinion/100000002061153/calorie-detective.html

http://www.hiveplot.net/

http://www.sciencedirect.com/science/article/pii/S1534580712001980

> Michal Levin, Tamar Hashimshony, Florian Wagner, and Itai Yanai. > Developmental milestones punctuate gene expression in the
> Caenorhabditis embryo. Developmental Cell (May 2012)

http://www.guardian.co.uk/world/2013/feb/10/software-tracks-social-media-defence