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Carlos Santos's Library tagged via:arthegall   View Popular

05 Nov 09

Kodkod

"Kodkod is an efficient SAT-based constraint solver for first order logic with relations, transitive closure, and partial models."

alloy.mit.edu/kodkod - Preview

kodkod via:arthegall SAT ConstraintProgramming alloy

21 Jul 09

http://www.stanford.edu/~montanar/BOOK/book.html

It should be an introduction to a rich and rapidly evolving research field at the interface between statistical physics, theretical computer science/discrete mathematics, and coding/information theory. It should be accessible to graduate students an researchers without specific training in any of these three fields.

www.stanford.edu/...book.html - Preview

via:arthegall book InformationTheory GraphicalModels StatisticalPhysics statistics

20 Jul 09

Editing the Gelman/Pearl Debate on Causality

Pointers to the relevant posts. Reading Gelman's posts on this made me realize that I have a lot of ground to cover before I even start understanding causality.

people.csail.mit.edu/...gelman-pearl-debate.html - Preview

Causality JudeaPearl AndrewGelman for:mirwox via:arthegall

Streetsblog New York City » Safety in Numbers: It’s Happening in NYC

The city's expanding bike network is paying dividends -- boosting the level of cycling and making streets safer in the process.

www.streetsblog.org/...n-numbers-its-happening-in-nyc - Preview

cycling safety via:arthegall

04 Jun 09

[0905.3369] Learning Nonlinear Dynamic Models

We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory showing this new approach is consistent for models with long range structure, and apply the approach to motion capture and high-dimensional video data, yielding results superior to standard alternatives.

arxiv.org/0905.3369 - Preview

via:arthegall MachineLearning by:JohnLangford MotionCapture ComputerVision

01 Jun 09

[quant-ph/0206089] Book Review: 'A New Kind of Science'

This is a critical review of the book 'A New Kind of Science' by Stephen Wolfram. We do not attempt a chapter-by-chapter evaluation, but instead focus on two areas: computational complexity and fundamental physics. In complexity, we address some of the questions Wolfram raises using standard techniques in theoretical computer science. In physics, we examine Wolfram's proposal for a deterministic model underlying quantum mechanics, with 'long-range threads' to connect entangled particles. We show that this proposal cannot be made compatible with both special relativity and Bell inequality violation.

arxiv.org/0206089 - Preview

by:ScottAaronson via:arthegall Wolfram NewKindofScience review

Wetware - Bray, Dennis - Yale University Press

In clear, jargon-free language, Dennis Bray taps the findings of the new discipline of systems biology to show that the internal chemistry of living cells is a form of computation. Cells are built out of molecular circuits that perform logical operations, as electronic devices do, but with unique properties. Bray argues that the computational juice of cells provides the basis of all the distinctive properties of living systems: it allows organisms to embody in their internal structure an image of the world, and this accounts for their adaptability, responsiveness, and intelligence.

yalepress.yale.edu/...book.asp - Preview

wetware by:DennisBray brain biology via:arthegall

Earning My Turns: Computation != Deliberation

There must be something really weird in the coffee at the Department of Philosophy at Berkeley that keeps some of them (Dreyfus, Searle, Noë) from recognizing that even a simple amoeba computes to maintain some awareness of and ecologically appropriate behavior towards their shifting environment.

earningmyturns.blogspot.com/...computation-deliberation.html - Preview

AlvaNoe OutOfOurHeads philosophy Searle brain via:arthegall

24 May 09

The Datacenter as a Computer

This is a 120 page document describing the design of state of the art, large scale computing facilities, such as those run by the big Internet companies. It discusses everything from facilities issues through the computing hardware through to the software infrastructure. This is an excellent design guide about how everyone should be designing data centers of all sizes, not just huge facilities. Don't be intimidated by its length: it is very easy to read. Just browse the table of contents and pick and choose the sections that interest you. I particularly enjoyed Chapter 5: Energy and Power Efficiency.

evanjones.ca/...datacenter-computer.html - Preview

via:arthegall google efficiency energy datacenter

11 May 09

Common Java Cookbook

Might be useful if I ever need to program in Java again (very likely)

www.discursive.com/...book.html - Preview

java cookbook commons book via:arthegall

05 May 09

nmdb - A multiprotocol network database

nmdb is a network database (dbm-style) for controlled networks that can use different protocols to to communicate with its clients. It supports TIPC, TCP, UDP and SCTP.

It consists of an in-memory cache that saves (key, value) pairs, and a persistent backend that stores the pairs on disk.
Both work combined, but the use of the backend is optional, so you can use the server only for cache queries, pretty much like memcached.

blitiri.com.ar/nmdb - Preview

via:arthegall python database memcache

  • nmdb is a network database (dbm-style) for controlled networks that can use
    different protocols to to communicate with its clients. It supports
    TIPC, TCP, UDP and

    SCTP.


    It consists of an in-memory cache that saves (key, value) pairs, and a
    persistent backend that stores the pairs on disk.

    Both work combined, but the use of the backend is optional, so you can use the
    server only for cache queries, pretty much like
    memcached.

Earning My Turns: Diversity in scientific data

Highly curated, single-source data is useful only in those areas where how the data is collected and curated is not a central part of the scientific debate. I can't think of a single area of science that I follow in which the core data are settled, from biology to linguistics. Diverse sources, openly exchanged, contrasted, and combined, are the lifeblood of data-driven science.

earningmyturns.blogspot.com/...ersity-in-scientific-data.html - Preview

wolframalpha via:arthegall by:FernandoPereira science BigData

  • Highly curated, single-source data is useful only in those areas where how the data is collected and curated is not a central part of the scientific debate. I can't think of a single area of science that I follow in which the core data are settled, from biology to linguistics. Diverse sources, openly exchanged, contrasted, and combined, are the lifeblood of data-driven science.
27 Apr 09

Op-Contributor - End the University as We Know It - Op-Ed - NYTimes.com

  • The dirty secret of higher education is that without underpaid graduate students to help in laboratories and with teaching, universities couldn’t conduct research or even instruct their growing undergraduate populations. That’s one of the main reasons we still encourage people to enroll in doctoral programs. It is simply cheaper to provide graduate students with modest stipends and adjuncts with as little as $5,000 a course — with no benefits — than it is to hire full-time professors.

    In other words, young people enroll in graduate programs, work hard for subsistence pay and assume huge debt burdens, all because of the illusory promise of faculty appointments. But their economical presence, coupled with the intransigence of tenure, ensures that there will always be too many candidates for too few openings.

Earning My Turns: Falling for the magic formula

The main failing of the paper under discussion seems to be choosing an artificially unlikely null hypothesis. This is a common problem in statistical modeling of sequences, for example genomic sequences. It is hard to construct realistic null hypotheses that capture as much as possible of the statistics of the underlying process except for what the hypothesis under test is supposedly responsible for.

earningmyturns.blogspot.com/...falling-for-magic-formula.html - Preview

statistics nullhypothesis via:arthegall

  • The main failing of the paper under discussion seems to be choosing an artificially unlikely null hypothesis. This is a common problem in statistical modeling of sequences, for example genomic sequences. It is hard to construct realistic null hypotheses that capture as much as possible of the statistics of the underlying process except for what the hypothesis under test is supposedly responsible for.
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