Ask HN: Papers you read in 2015?

* Program design in the UNIX environment (1984): http://harmful.cat-v.org/cat-v/unix_prog_design.pdf

Glipse into unix essentials. Do one thing well on an example so you'll never forget it again. Doing less requires more care and attention to detail.

* From Frequency to Meaning (2010): https://www.jair.org/media/2934/live-2934-4846-jair.pdf

A nice summary on vector space models along with three basic matrix layouts: term-document, word-context, pair-pattern and the resulting applications and algorithms.

* A Roadmap towards Machine Intelligence (2015): http://arxiv.org/pdf/1511.08130v1.pdf

Emphasis on communication. I liked the fact, that the AI is pictured as a research assistant, since I would love to see a more dialog oriented interaction with machines.

* 50 years of Data Science (2015): https://dl.dropboxusercontent.com/u/23421017/50YearsDataScie...

Great essay on how the past had a handle on todays data analysis landscape, just without the enormous computing power and data availability, that we have today.

National Confidential Inquiry into Suicide and Homicide by People with Mental Illness (UK): http://www.bbmh.manchester.ac.uk/cmhs/research/centreforsuic...

That paper tells us that pain medication is often used in completed suicide (paracetamol; paracetamol and opioids combined; and opioids; are three of the top five most commonly used meds)

So I have an interest in pain medication from the angle of suicide prevention, which is why these two are interesting.

Efficacy and safety of paracetamol for spinal pain and osteoarthritis: systematic review and meta-analysis of randomised placebo controlled trials: http://www.bmj.com/content/350/bmj.h1225

(Paracetamol probably doesn't help with long term musculo-skeletal pain, and increases risk of liver damage)

http://www.thelancet.com/journals/lancet/article/PIIS0140-67...

(Paracetamol probably no better than placebo for long term back pain)

Here is an accessible algorithms paper. It's a cute puzzle problem. It was inspired by answers on cs.stackexchange.

Efficient Algorithms for Envy-Free Stick Division With Fewest Cuts http://arxiv.org/abs/1502.04048

Presented August 2010 at the IEEE Conference on Peer-to-Peer Computing (P2P)

Using state lattices for motion planning was new to me but seems like an elegant approach:

http://people.csail.mit.edu/rak/www/sites/default/files/pubs...