| Random Link ¯\_(ツ)_/¯ | ||
| Jan 11, 2022 | » | Journal Reviews
5 min; updated Feb 12, 2023
Link PredictionGiven network-structured data, predict whether a link exists between two nodes. Applications include: predicting drug-drug interactions (common in treating patients with complex/co-existing diseases) as they may cause changes in the drugs’ pharmacological activity . ... |
| Jan 22, 2019 | » | Tracking and Data Collection
4 min; updated Feb 12, 2023
Tracking on the Internet. The red boxes show content (at least the visible ones) served by third parties.](/img/computer-science/cos432-information-security/14-privacy/third-party-online-tracking-2012.png){kind=tracking} When the browser requests a third-party resource embedded on a web page, the snippet below is a subset of the HTTP headers sent by the browser to the third party. ... |
| Jun 25, 2018 | » | IBM Watson's Health Saga
2 min; updated Sep 5, 2022
Layoffs at Watson Health Reveal IBM’s Problem with AI.
Eliza Strickland.
Jefferies gives IBM Watson a Wall Street reality check.
John Mannes.
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| Jul 5, 2020 | » | Startup Ideation
4 min; updated Sep 5, 2022
How to Get Startup IdeasErr on the side of having competitors, but make sure that you have a thesis that everyone else is overlooking, e.g. Google wasn’t averse to users leaving The Startup Idea Matrix, ( B2B Edition , B2C Edition ) is a good start for knowing who to google. Big companies tend to be slow at changing their approach. You’d think that Yahoo! would clean up their landing page the moment they realized Google was becoming a dominant search engine. ... |
| May 21, 2018 | » | 05. The Childhood Neighbor
2 min; updated Sep 5, 2022
Money was a sore point in the Holmes household. Holmes’s grandparents had squandered away their share of the Fleischmann fortune. Richard Fuisz, a family friend, was a flashy successful businessman. So in a way, Elizabeth didn’t grow up in wealth? This puts a spin on Chapter 01: A Purposeful Life . Fuisz was offended that Elizabeth never consulted him. Fuisz made his money patenting medical inventions that he anticipated other companies would someday want. ... |
General types of prediction tasks on graphs: graph-level (e.g. will a molecule bind to a receptor implicated in a disease?), node-level (e.g. what is the identity of each node?), and edge-level (e.g. does this edge exist; what value does it have?).