Measuring AI's ability to learn can be difficult. Computer Science |
- Measuring AI's ability to learn can be difficult.
- Detection of cyberbullying with the aid of deep learning method.
- Multi-factor sorting algorithms
- How does one parse a Lisp expression?
- Parallelize Database synchronization
- How easy is it to code an auto email if a certain value is not entered in an online form?
- Women here, what's the sexism like?
- Is 9 month enough time for an EE with a day job to transition to software engineering
- Fast Unsupervised Image Categorization Algorithm
- Request-Review for P versus NP paper
- Why didn’t AI evolve to become what it is today earlier?
- Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation
Measuring AI's ability to learn can be difficult. Posted: 17 Jan 2019 12:04 AM PST |
Detection of cyberbullying with the aid of deep learning method. Posted: 16 Jan 2019 10:50 AM PST |
Multi-factor sorting algorithms Posted: 16 Jan 2019 09:22 PM PST Hello, I recently came across this article http://www.evanmiller.org/how-not-to-sort-by-average-rating.html. The article covers a few ways to create sorting scores. However, the examples are only for 2 factors, positive vs negative comments or positive vs all comments. What if I have 10 factors I want to consider? I checked my algorithms book for weighted sorting algorithms, but didn't find anything. I'm curious about how I could come up with a sorting score for something with n factors? In addition, how do I handle factors that are more desirable in different ways? For example:
Are there standard ways of doing stuff like this? [link] [comments] |
How does one parse a Lisp expression? Posted: 16 Jan 2019 08:21 PM PST Hello r/compsci! I originally posted this question on r/learnprogramming but I received feedback that this might be more suitable for this community. I am trying write a simple parser for restricted Lisp expressions, but I just can't wrap my head around a good solution. Please see the details here. I know there are a lot of solution out there, but I don't understand them unfortunately. I think the grammar is the following: where I parsed the input to a list of strings but then I wasn't able to create the abstract syntax tree. I'm not even sure if need to create it. For example if the input is "(add 1 (mult 2 3))" AST would be ["add", "1", ["mult", "2", "3"]]. Conceptually if I can do recursive evaluation, I should be able to solve this problem, but how do I implement this? If someone could point me to the right direction, that would greatly be appreciated. [link] [comments] |
Parallelize Database synchronization Posted: 17 Jan 2019 01:50 AM PST I am not sure if this is the right place to post this, but I think you guys may help me find some literature on this subject. If it is not, please tell me, I will delete this post. I want to synchronize the information of one database into another database. This sync then repeats itself every hour and only updates those values who have changed. Some tables (lets call one of those tables " However, when To fix this, one would suggest to subdivide the sync of
Now here we come at the core of my problem: how do we synchronize the dependencies? It is not guaranteed that the foreign keys are already in the new database and if not, we have to synchronize those values too. Continuously querying the sync-to-database and the sync-from-database during the process to see if a value is already there (and if not, adding it) would add a lot of traffic and completely annihilate So my question is, do you have any knowledge concerning this problem? Can someone help me find information about this kind of problem? Or at least supply me with some terminology I want to look for? TL;DR: I need to synchronize a whole database to another database, how do you divide this process into smaller chunks if a lot of tables refer to others? [link] [comments] |
How easy is it to code an auto email if a certain value is not entered in an online form? Posted: 17 Jan 2019 03:07 AM PST Say a embassy needs a specific city entered in a field in a form that applicant fills out online. If a different city is entered, an auto email is sent, saying sorry you can't book here. [link] [comments] |
Women here, what's the sexism like? Posted: 16 Jan 2019 04:23 PM PST So I'm starting my computer science degree in about 2 weeks. I'm really scared that Comp Sci is a bad fit for me in terms of the environment and people. I don't see myself being happy in a male-dominated field and I'm scared of creepy weird guys (things have happened to me before and I highly doubt it'll stop). So women who studied comp sci/ work in the comp sci field, please tell me about your experiences with sexism? If you're not a woman, you can still give your opinion lol, I don't really mind. Also I really don't want to be the diversity hire... [link] [comments] |
Is 9 month enough time for an EE with a day job to transition to software engineering Posted: 16 Jan 2019 04:59 PM PST I majored in EE so I have some basic programming skills. I'm familar with Python and Java, but haven't coded enough to call myself fluent. I also know basic data structures and algorithms, but again, need to study more to be truly good. I also lack any repositories on Github. I hope to transition to a software engr job at a respectable company in 9-10 month, so I've been studying everyday after work. Just wanna know is that time frame realistic and what advice you have. Thanks [link] [comments] |
Fast Unsupervised Image Categorization Algorithm Posted: 16 Jan 2019 02:45 PM PST In this post, I'm going to show how we can combine the image feature recognition algorithm I presented a few months ago, with the categorization and prediction algorithms I presented in the two posts below, to produce an algorithm that can quickly categorize images, without any supervision. The final algorithm I'll present is O(n), where n is the number of pixels in the image we're attempting to categorize. This algorithm works so well that it can distinguish between paintings by different artists, in just a few seconds. It can also distinguish between articles of clothing, and other objects, but the focus of this post will be on its ability to distinguish between artists, because, in my opinion, this shows that the algorithm is capable of unsupervised abstraction, allowing it to say without any guidance, what it is that distinguishes a Van Gogh from a Caravaggio. These algorithms use the same underlying categorization and prediction algorithms that I used below to imitate complex three-dimensional shapes, predict data, and approximate complex functions. In this case, I've added some additional scripts that allow the underlying algorithms to analyze images. As a result, the underlying categorization and prediction algorithms are shaping up to be a set of generalized AI algorithms that appear to only require a "hook" into the subject matter in question. Finally, note that all of the algorithms I'll present in this post are worst-case polynomial in time as a function of the number of pixels in the image. That is, even the algorithms we'll use to construct categories in the first instance are polynomial in time as a function of the number of pixels / images in the database. As a result, these algorithms allow for what I believe to be industrial quality image recognition to be implemented on a consumer device, and can probably allow industrial machines to conduct real-time analysis of high-resolution video. Code, examples, and theory, available here: https://www.researchgate.net/project/Information-Theory-SEE-PROJECT-LOG [link] [comments] |
Request-Review for P versus NP paper Posted: 16 Jan 2019 08:39 PM PST P versus NP is considered as one of the most important open problems in computer science. This consists in knowing the answer of the following question: Is P equal to NP? A precise statement of the P versus NP problem was introduced independently by Stephen Cook and Leonid Levin. Since that date, all efforts to find a proof for this problem have failed. Given a positive integer x and a collection S of positive integers, MAXIMUM is the problem of deciding whether x is the maximum of S. We prove this problem is complete for P. Another major complexity classes are LOGSPACE, LOGTIME and coNP. Whether LOGSPACE = P is a fundamental question that it is as important as it is unresolved. We show the problem MAXIMUM can be decided in logarithmic space. Consequently, we demonstrate the complexity class LOGSPACE is equal to P. Moreover, we define a problem called SUCCINCT-MAXIMUM. SUCCINCT-MAXIMUM contains the instances of MAXIMUM that can be represented by an exponentially more succinct way. We show this succinct version of MAXIMUM is in coNP-complete under logarithmic reductions. Hence, under the assumption of P = NP, we obtain the padded version of SUCCINCT-MAXIMUM is in LOGTIME and P-hard. However, this is not possible according to LOGTIME is strictly contained in LOGSPACE, because that result would imply LOGTIME = LOGSPACE. In this way, we demonstrate the assumption of several computer scientists whom fully expect that P is not equal to NP. [link] [comments] |
Why didn’t AI evolve to become what it is today earlier? Posted: 16 Jan 2019 02:29 PM PST So I'm watching this video on YouTube about AI and the guy who's describing how a neural network work in its most basic form. He is saying that a neuron in your brain takes different inputs generated from your body and produces an output. Example Input: breathing/pulse Answer yes/no Output: alive/dead AI works the same but with other inputs and I wonder why this hasn't gone faster, is it because of weak computers (few transistors)? Or is it because the software 'the code' has become so mature now that we are beginning to see broad application? I'm new to this place, like Reddit as a whole but I love the community. With that said this might be the wrong subreddit but I'll give it a try here and if not maybe you guys can give directions. Thanks! [link] [comments] |
Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation Posted: 16 Jan 2019 08:54 AM PST |
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