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Apache OpenNLP - Welcome to Apache OpenNLP

Apache OpenNLP - Welcome to Apache OpenNLP

Home Snowball Zemanta - contextual intelligence for everyone! Species Habitat Modeling Maxent software for species habitat modeling Most current version: 3.3.3k (see new features below). Use this site to download software based on the maximum-entropy approach for species habitat modeling. Further description of this approach can be found in: Steven J. Terms of use: This software may be freely downloaded and used for all educational and research activities. Please provide your name, institution and email address prior to downloading. Discussion Group There is a google discussion group for users of this software at Tutorial A tutorial explaining how to use this software is provided here as a word document. Translations: A Spanish translation of a slightly older version of the tutorial, provided by Paolo Ramoni-Perazzi, is available here. Datasets Here are the datasets used in the Ecological Modeling paper referenced above: coverages.zip - the coverages we used in modeling. Main changes in Version 3.3

3 Rules for Building Features in a Lean Startup 20 Flares370010--×20 Flares x Access to videos, talks, and worksheetsInvitation to private Google Plus CommunityJoin in on live Q&A webinars and fireside chats MALLET homepage MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. MALLET includes sophisticated tools for document classification: efficient routines for converting text to “features”, a wide variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees), and code for evaluating classifier performance using several commonly used metrics. Quick Start / Developer’s Guide In addition to classification, MALLET includes tools for sequence tagging for applications such as named-entity extraction from text. Algorithms include Hidden Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. Topic models are useful for analyzing large collections of unlabeled text. Many of the algorithms in MALLET depend on numerical optimization. The toolkit is Open Source Software, and is released under the Apache 2.0 License.

Welcome to Apache Stanbol! - Apache Stanbol Panopticism Foucault and the Codes of Cyberspace Mark Winokur We cannot agree on an historical point of origin for the Internet. The cultural-critical "app" I choose for discussing this poststructural indeterminacy is Michel Foucault's notion of panopticism: first, because it is one of the more straightforward poststructuralist notions; second, because it is not just an important and conventional touchstone within the community of poststructural critics, but has also made its way into popular discourse; third, because it already has a familiar application within Internet studies; and fourth, and most importantly, because the Internet and the panopticon make significantly similar assumptions about the creation of the subject within discourse. Panopticism 1.0 In fact, panopticism seems an appropriate poststructuralist model for this instance because the Internet has been tentatively read through the lens of panopticism before, for example in Communications Studies. Foucault's Panopticon The Gaze.

How We Build Features x Access to videos, talks, and worksheetsInvitation to private Google Plus CommunityJoin in on live Q&A webinars and fireside chats JGibbLDA: A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference Metaweb video From Freebase On July 16th 2010, when Metaweb announced their acquisition by Google, they also launched a video that explains what Metaweb/Freebase does, what entities are, etc. You know what drives me crazy about words? Like, check this out: someone says, "I love Boston." But, I guess there's really no way of knowing. So how come on the web, so many sites still try to organise stuff with words? But what if there was a better way? Welcome to Metaweb. OK, well, let's compare that to text. But that's just the beginning. So, Metaweb's been in the process of identifying millions of these entities and mapping out how they're related, and what words other sites use to refer to them. So, how is this going to help you? Or, say you're that product guy at the music site. Are you kidding me? And it's not just movies and bands. Metaweb makes your site smarter.

EcoSim: Ecosystem Simulation Ecological modeling is a still growing field, at the crossroad between theoretical ecology, mathematics and computer science. Ecosystem models aim to characterize the major dynamics of ecosystems, in order to synthesize the understanding of such systems, and to allow predictions of their behavior. Because natural ecosystems are very complex (in terms of number of species and of ecological interactions) ecosystem models typically simplify the systems they are representing to a limited number of components. In the area of ecosystem simulation, individual-based modeling provides a bottom-up approach allowing for the consideration of the traits and behavior of individual organisms. A run of the simulation EcoSim from time step 1 to 1660. The global objective of our work is to develop such a powerful predator-prey ecosystem simulation, called EcoSim, and to try to gain some knowledge about natural ecosystems thanks to it. More videos of the simulation are available.

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