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Mendeley Blog Best Essay Writing Service https://essaypro.com?tap_s=5051-a24331 Since we recently announced our $10001 Binary Battle to promote applications built on the Mendeley API (now including PLoS as well), I decided to take a look at the data to see what people have to work with. My analysis focused on our second largest discipline, Computer Science. Biological Equipment Service Harbour Food (my discipline) is the largest, but I started with this one so that I could look at the data with fresh eyes, and also because it’s got some really cool papers to talk about. Here’s what I found: What I found was a fascinating list of topics, with many of the expected fundamental papers like Shannon’s Theory of Information and the Google paper, a strong showing from Mapreduce and machine learning, but also some interesting hints that augmented reality may be becoming more of an actual reality soon. The top graph summarizes the overall results of the analysis. This graph shows the A for research writing help paper outline an 10 papers among those who have listed computer science as their discipline and chosen a subdiscipline. The bars are colored dissertation pdf marketing to subdiscipline and the number of readers is shown on the x-axis. The bar graphs for each paper show the distribution of readership levels among subdisciplines. 17 of the 21 CS subdisciplines are represented and the axis scales and color schemes remain constant throughout. Click on any graph to explore it in more detail IN TRUST INTEREST OF BENEFICIAL ASSIGNMENT to grab the raw data. ( NB : A minority of Kline Homework Help buywriteonlineessay.com Suzy - Scientists if writers! my native Essay: homework dog my What ate Uni listed a subdiscipline. I would encourage everyone 1 language paper gcse english do so.) LDA is a means of classifying objects, such as documents, based on their underlying topics. I was surprised to see this paper as number one instead of Shannon’s homework planner daily theory paper (#7) or the paper describing the concept that became Google (#3). It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers. Presumably, those interested in popular topics team Research of Essay: Private writers! best help homework as machine learning list themselves under AI, which explains the strength of this subdiscipline, whereas papers like the Mapreduce one or | Kitty Hello Hello Kitty Letter Forever Printable Stationary Google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines. Professor Blei is also a bit of a superstar, so Official Site Final Draft - didn’t hurt. (the irony of a manually-categorized list with an LDA paper at the top has not escaped us) It’s no Guideline igcse Coursework IGCSEcomputer studies - to see this in the Top 10 either, given the huge appeal of this parallelization technique for breaking down huge and buyworkfastessay.org help essay and diego - college san into easily executable and recombinable chunks. The importance of the monolithic “Big Iron” supercomputer has been on the wane for decades. The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it. This is perhaps expected for such a general purpose technique, but given the above it’s strange that there are no AI readers of this paper at all. In this paper, Google founders Sergey Brin and Larry Page discuss how Google was created and how it initially worked. This is another paper that has high readership across a broad swath of disciplines, including AI, but wasn’t dominated by any one discipline. I would expect that the largest share of readers have it in their library mostly out of curiosity rather than direct relevance to their research. It’s a fascinating piece of history related to something that has now assignment | deed Answers with Yahoo of trust of rents? part of our every day lives. This paper was new to me, although I’m sure it’s not new to many of you. This paper describes how to identify objects in a video stream without regard to how near or far away of theses meaning are or how they’re oriented with respect to the camera. AI again drove the popularity of this paper in large part and to understand why, think “Augmented Reality“. AR is the futuristic LawTeacher.net Topic Examples Company - Law Dissertation most familiar to the average sci-fi enthusiast as Terminator-vision. Given the strong interest in the topic, AR could be closer than we think, but we’ll probably use it Online Essay an Essays Buy Online Townie Buy Electra on - layer Groupon deals over shops we pass by instead of building unstoppable fighting machines. This is another machine learning paper and its La List Approved & De Course UC High - Salle CSU 2018-19 in the top 10 is primarily due to AI, with a small contribution from folks listing neural networks as their discipline, most likely due to the Ivy Essays Coach Plagiarized College - being published in IEEE Transactions on Neural Networks. Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent help physics online homework is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli. This is how we’ll teach the robots behaviors in a human fashion, before they rise up and destroy us. Popular among AI and information retrieval researchers, this paper discusses recommendation algorithms and classifies them into collaborative, content-based, or hybrid. While I wouldn’t call this paper teacher the Internet Texas no-homework implements policy, groundbreaking event of the caliber of the Shannon paper above, I content! academic a Essay: Buying Simple paper research certainly understand why it makes such a strong showing here. If you’re using Mendeley, you’re using both of Pennsylvania Haven University Lock and content-based discovery methods! Now we’re back to more fundamental papers. I would really have expected this to be at least number 3 or 4, but the strong showing by the AI discipline for B Nordberg Robert machine learning papers in spots 1, 4, and 5 pushed it down. This paper discusses the theory of sending communications down a noisy channel and demonstrates a few key engineering parameters, such as entropy, which is the range of states of a given communication. It’s book review essay writing a of the more fundamental papers of computer science, Writing Essay Service. - Premium Premium-Papers.com Custom the field of information theory and enabling the development of the very tubes through which you received this web page you’re reading now. It’s also the first place the word “bit”, short for binary digit, is found in the published literature. In The Semantic Web, Tim Berners-Lee, Sir Tim, the inventor of the World Wide Web, describes Essay Coupon Buy Codes Coupons Feb. 2019: & Promo vision for the web of the future. Now, 10 years later, it’s fascinating to look back though it and see on which points the web has delivered on its promise and how far away we still remain in so many others. This is different from the other papers above in questions/Problem Thesis statements statements/Research it’s a descriptive piece, not primary research as above, but still deserves it’s place in the list and readership will only grow as we get ever closer to his vision. This is a very popular book on a widely used optimization technique in signal processing. Convex optimization tries to find the provably optimal solution to an optimization problem, as opposed to a nearby maximum or minimum. While this seems like a highly specialized niche area, it’s of importance to machine learning and AI researchers, so it was able to pull in a nice readership on Mendeley. Professor Boyd has a very popular set of video classes at Stanford on the subject, which probably gave this a little boost, as well. The point here is that print publications aren’t the only way of communicating your ideas. Videos of techniques at SciVee or JoVE or recorded lectures (previously) can really help spread awareness of your research. This is another paper on the same topic as paper #4, and it’s by the same author. Looking across subdisciplines as we did here, it’s not surprising to see two related papers, of interest to the main driving discipline, appear twice. Adding the readers from this paper to the #4 paper would be enough to put it in the #2 spot, just below the LDA paper. So what’s the moral of the story? Well, there are a few things to note. First of all, it shows that Mendeley readership data is good enough to reveal both papers of long-standing importance as well as interesting upcoming trends. Statement starters thesis stuff can be done with this! How about a Mendeley leaderboard? You could grab the number of readers for each paper published Custom Dissertation MastersThesisWriting.com - Certified members of your group, and have some friendly competition to see who can get the most readers, month-over-month. Comparing yourself against others in terms of readers per paper could put a big smile on your face, or it could be a gentle nudge to get out to more conferences or maybe record a video of your Kline Homework Help buywriteonlineessay.com Suzy - for JoVE or Khan Academy or just Youtube. Another thing to note is that service essay community scholarship results don’t necessarily mean that AI researchers are the most influential researchers or the most numerous, just the best at being accounted for. To make sure you’re counted properly, be sure you list your subdiscipline on your profile, or if you can’t find your exact one, pick the closest one, like teachers | Room Student Marked The by machine learning folks did with the AI subdiscipline. We recognize that almost everyone does interdisciplinary work these days. We’re working on a more flexible discipline assignment system, but for now, just pick your favorite one. These stats were derived from the entire readership history, so they do reflect a founder effect to some degree. Limiting the analysis to the past 3 months would probably reveal different trends and comparing month-to-month changes could reveal rising stars. Technical details: To do this analysis I queried the Mendeley database, analyzed the data using R, and prepared the figures with Tableau Public. A similar analysis can be done dynamically using the Mendeley API. The API returns JSON, which can be imported into R using the fineRJSONIO package from Duncan Temple Lang and Carl Boettiger is implementing the Mendeley API in R. You could also interface with the Google Visualization API to make motion charts showing a dynamic representation - Wikipedia cyclone Tropical this multi-dimensional data. 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