MAXPOOL

16 ms·

151.
by MAXPOOL 8y ago
If you have a good paper with important result, providing code and data is not necessary. Providing the code to replicate is good form. It shows good faith and confidence. Exact replication (exactly replicating the study) is just the starti
152.
by MAXPOOL 8y ago
You would think that computer science can't have replication failures, but it can. And I'm talking about my own field: machine learning. There is so much hype that I suspect that people are pushing papers and trying to actively h
153.
by MAXPOOL 8y ago
The way to tackle the problem you state would be finding similar bounds with regularization.
154.
by MAXPOOL 8y ago
This is not controversial statement. Most Deep Learning pioneers (like Hinton and Bengio) agree and try to find a new way out. Of course there has been many breakthroughs. Solving exploding or vanishing gradient problem is important. Thro
155.
by MAXPOOL 8y ago
Only 100 of those are sensory neurons. Only two neurons are for memory (interneurons as the neural substrates of mechanosensory memory).
156.
by MAXPOOL 8y ago
Sean Carrol has a interesting podcast episode (and transcript) related to this type of research for those who are interested. Episode 16: Coleen Murphy on Aging, Biology, and the Future: https://www.preposterousuniverse.com&#x2F
157.
by MAXPOOL 8y ago
Yet another way to visually understand complex functions is to think them as 2D plane to 2D plane transformations. You draw a picture, grid or curves into complex plane, then run it trough complex function you are interested in and see h
158.
by MAXPOOL 8y ago
We can simplify the problem consciousness/mind/body simulation much more than what you think if we use your approach. Give me two programs that produce "seeing red light" 200 ms in a loop and "hearing 400 Hz pure si
159.
by MAXPOOL 8y ago
Social intelligence that leads to the top may not be related to IQ or fluid intelligence. It may be ability to communicate, read and project ideas, not thinking better ideas. ps. Group selection is very controversial theory. I think most e
160.
by MAXPOOL 8y ago
Hypothesis: The main evolutionary benefit social animals get from IQ is understanding the thinking of others and communication. Thinking and understanding others is more important than thinking better. Slightly higher than average IQ is
161.
by MAXPOOL 8y ago
"a mouth without a brain" analogy is good one. Current NLP is impressive but there are limits. People have spatiotemporal model of the world, different physical models, social and behavioral models of the world, organizational mo
162.
by MAXPOOL 8y ago
"To deal with hyper-planes in a 14-dimensional space, visualize a 3-D space and say 'fourteen' to yourself very loudly. Everyone does it." – Geoffrey Hinton, A geometrical view of perceptrons, https://www.cour
163.
by MAXPOOL 8y ago
Yes. there are many ways to do 4d to 3d projections, including perspective projections. You could also make a 3d 'camera' view with 4d lens and 3d projection plane. Here is a good intro to 4D Visualization http://eus
164.
by MAXPOOL 8y ago
I'm not an economist, but when I once asked examples of good econometric methods to study especially related to synthetic control. I was given just that Marinescu's Alaska paper you are referring to. They needed a counterfactua
165.
by MAXPOOL 8y ago
Currently explicit formally verifiable proofs provide no value for most mathematicians apart from some specific fields. This may gradually change if proof assistants and proof checkers improve. It may become to incorporate some machine lear
166.
Toward an Integration of Deep Learning and Neuroscience(frontiersin.org)
4 points by MAXPOOL 8y ago|0 comments
167.
by MAXPOOL 8y ago
Notice: "Viewer needed prompting in verbalization." This would be amazing if it was double blind study but I don't believe it was. The monitor knew the picture and was unintentionally affecting the outcome.
168.
by MAXPOOL 8y ago
It's easy to forget how little time ago parapsychology was still considered open question even by top minds. Everybody knows about Turing test and many can name and reference the seminal paper: A. M. Turing (1950) Computing Machinery a