- Researchers have devised a novel method to glean training information for machine-learning models, including those that can analyze medical images to help diagnose and treat brain conditions.
- MNIST Reborn, Restored and Expanded: Additional 50K Training Samples
- Space Filling Curves to Minimize Eye Travel while Displaying Sortable Data
- Claim for Graph Isomorphism in Polynomial Time
- PCP intuition
- Improved Microsoft MT-DNN Tops GLUE Rankings
- Startup turns to HPC modeling to grasp the details of fusion reactions
| Posted: 19 Jun 2019 11:50 PM PDT |
| MNIST Reborn, Restored and Expanded: Additional 50K Training Samples Posted: 19 Jun 2019 08:24 AM PDT |
| Space Filling Curves to Minimize Eye Travel while Displaying Sortable Data Posted: 20 Jun 2019 03:20 AM PDT |
| Claim for Graph Isomorphism in Polynomial Time Posted: 19 Jun 2019 12:45 PM PDT So I was learning about Graph Isomorphism and the algorithms proposed by various authors, I stumble across a Quora question asking about "Consequences if GI could be solved in PTIME" and an answer said "I think I have found a Polynomial time solution" and gives a link to his blog explaining the algorithm. Link: http://babkin-cep.blogspot.com/2018/06/graph-equivalence-1-overall-algorithm.html?m=0 Is it authentic or flawed? I tried to read through the blog post, but couldn't understand it. I found the explanation quite vague and unclear. What are your thoughts about this? [link] [comments]  |
| Posted: 19 Jun 2019 11:42 AM PDT PCP (Post correspondence problem) is known to be undecidable. But at the same time it would be trivial to write a program to check every permutation of the "dominoes" that would always terminate with accept/reject. Can someone help me understand where my intuition is off? [link] [comments]  |
| Improved Microsoft MT-DNN Tops GLUE Rankings Posted: 19 Jun 2019 03:31 PM PDT |
| Startup turns to HPC modeling to grasp the details of fusion reactions Posted: 19 Jun 2019 09:38 AM PDT |
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