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A repository for code centered around data representation, analysis and visualization. There's a Google group to make it easier to leave comments etc. To begin with that means RDF for data storage, F# for analysis, and whatever comes to hand for visualization, almost certainly Silverlight. ... [More] Essentially this gives me three pieces of technology no two of which work together, so it is a bit of a challenge. The real goal here is a port of (some of) Berners-Lee's Tabulator to Silverlight and .NET. Somewhat heretical, I know, but opening RDF to Windows developers is essential. This project is not yet started. (at least has nothing worth sharing). Programming Collective Intelligence in F#First up is a port to F# of code from Toby Segaran's excellent "Programming Collective Intelligence". See the code overview for how information on how this is structured, and how to use it. Everything here should work fine under Mono. If it doesn't, please let me know. Engine RoomVisualization for the ears. This is an experimental project to convert data streams - system readings, telemetry, stock prices - to sounds (mostly screams, for the stock prices these days). Think window's perfmon with chirps, drones and hums rather than charts. see EngineRoom for more ramblings. The Little MLer in F#A simple, concise, project - translate the code examples in the above book into F#. Someone (John Harrop?) recommended this as a useful book for understanding what underlies F#, and indeed, it's forced me to really think about aspects of F# that I thought I understood. The biggest payoff has been forcing me to realize that I didn't really understand generics and types, or the role of type calculus. You probably have to do your own translation to get any benefit from it, but in the spirit of "if it might be useful to somebody then publish the damn thing" and "if I'd like to be able to find it again put it in a well known location" here it is. [Less]

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Motivation: Multi-objective optimization is an active field today and there's no F# library to do it. Why F#? Metaheuristical techniques are considered like heuristics for generalized problems. Polymorphism in F# allow to avoid assumptions about the Data Types. Most of the mathematical ... [More] definitions can be translated to working code effortlessly. Side effects in F# allows to generate new random solution candidates without having to use monadic wrapping. Function composition and partial defined functions allow certain transformations of problems that can't be done (at least in an elegant way) using for example Java or C++. [Less]

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