Also includes topics, such as web caching, that are directly relevant to internet architecture and performance. Cs subdisciplines are represented and the axis scales and color schemes remain constant throughout. It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. 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 technique for another thing to note is that these results dont necessarily mean that ai researchers are the most influential researchers or the most numerous, just the best at being accounted for Buy now Computer Science Research Papers 2014
Ar is the futuristic idea most familiar to the average sci-fi enthusiast as. Computational complexity is typically the more appropriate subject area. Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is 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. I was surprised to see this paper as number one instead of shannons information theory paper (7) or the paper describing the concept that became google (3). Ai, since the latest is a fuzzy and uncertain concept.
The bars are colored according to subdiscipline and the number of readers is shown on the x-axis Computer Science Research Papers 2014 Buy now
Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc. It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. Covers design tools, software metrics, testing and debugging, programming environments, etc. Its one of the more fundamental papers of computer science, founding the field of information theory and enabling the development of the very tubes through which you received this web page youre reading now. This is the classification to use for documents that do not fit anywhere else Buy Computer Science Research Papers 2014 at a discount
In the semantic web, tim berners-lee, sir tim, the inventor of the world wide web, describes his vision for the web of the future. Covers all areas of cryptography and security including authentication, public key cryptosytems, proof-carrying code, etc. This is another machine learning paper and its presence 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 paper being published in ieee transactions on neural networks. The importance of the monolithic big iron supercomputer has been on the wane for decades. Also includes material on compilers oriented towards programming languages other material on compilers may be more appropriate in architecture (ar) Buy Online Computer Science Research Papers 2014
Its also the first place the word bit, short for binary digit, is found in the published literature. To make sure youre counted properly, be sure you list your subdiscipline on your profile, or if you cant find your exact one, pick the closest one, like the machine learning folks did with the ai subdiscipline. Covers all aspects of computing with sound, and sound as an information channel. Lda is a means of classifying objects, such as documents, based on their underlying topics. Tcpip) are generally a closer fit to the networking and internet architecture (cs.
While i wouldnt call this paper a groundbreaking event of the caliber of the shannon paper above, i can certainly understand why it makes such a strong showing here Buy Computer Science Research Papers 2014 Online at a discount
The bar graphs for each paper show the distribution of readership levels among subdisciplines. Now, 10 years later, its 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. Logics in computer science as the primary subject area. Covers approaches to information processing (computing, communication, sensing) and bio-chemical analysis based on alternatives to silicon cmos-based technologies, such as nanoscale electronic, photonic, spin-based, superconducting, mechanical, bio-chemical and quantum technologies (this list is not exclusive). Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is 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 Computer Science Research Papers 2014 For Sale
Covers design tools, software metrics, testing and debugging, programming environments, etc. While this seems like a highly specialized niche area, its of importance to machine learning and ai researchers, so it was able to pull in a nice readership on mendeley. Roughly includes material in all of acm subject class i. Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. The importance of the monolithic big iron supercomputer has been on the wane for decades.
The bars are colored according to subdiscipline and the number of readers is shown on the x-axis. Ai, since the latest is a fuzzy and uncertain concept For Sale Computer Science Research Papers 2014
This is the classification to use for documents that do not fit anywhere else. Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with learning), foundations of agent modeling in games (which may overlap with multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. Application areas include automotive, aerospace, process control, network control, biological systems, multiagent and cooperative control, sensor networks, control of cyberphysical and energy-related systems, control of computing systems Sale Computer Science Research Papers 2014