The RAM is the model of choice for most algorithm designers because its instructions and its computation time correspond well to those of a real machine. Turing machines are less realistic because they are conf
1 Problems of Structuring Social-Economic Information and Theory of Monotonic Sys-tems A number of new approaches have appeared in the area of development of mathematical methods for structural analysis of socio-economic information.The,rst of these is the use of data classi,cation methods for dete...
of which will be of considerable interest across the areas of Operations Research, Computer Science, Applied Mathematics, and Engineering. These problems include Internet congestion control, high-speed communication networks, multi-object auctions, resource allocation, software testing, data structures, etc...
One of the main goals of the chapter is to attempt to clarify the nature and scope of the so-called problem of time: a knot of technical and interpretative problems that appear to stand in the way of attempts to quantize general relativity, and which have their roots in the general ...
A decentring view of decolonisation seeks to reject an imitation of the West in all aspects of life, calling for the assertion of unique identities and a re-centring of knowledge on approaches that restore global histories and problems and solutions. For Ngũgĩ wa Thiong’o, this means rep...
As we worked on problems of epistemic thinking, it seemed to each of us that although these two prevalent frameworks were highly valuable, they were insufficient for addressing the educational problems that most interested us. One main issue was that these frameworks described epistemic thinking as ...
the reach of the theory of computing, or raise important problems that can benefit from theoretical investigation and analysis, are encouraged. The program committee will make every effort to consider a broad range of areas. Submission format: Submissions should start with a title page consisting ...
Information Science Cornell University, Ithaca, NY 14853 Arnd Christian König Microsoft Research Microsoft Corporation Redmond, WA 98052 ABSTRACT Efficient (approximate) computation of set similarity in very large datasets is a common task with many applications in information retrieval and data ...
and statistics to solve many inference and learning problems12,13,14. In this setting, surprise is called the (negative) model evidence. This means that minimizing surprise is the same as maximizing the sensory evidence for an agent's existence, if we regard the agent as a model of its ...
Category Theory. If you come around to Category Theory without having some concrete experience in dealing with problems to which you can relate the ideas you learn here, I feel it might be a bit hard to connect with this domain of study and gain intuition into to why such machinery is ...