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    EMNLP
    2007
    191views Natural Language Processing» more  EMNLP 2007»
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    13 years 10 months ago
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    Download  acl.ldc.upenn.edu
    One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
    David A. Smith, Jason Eisner
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    BMCBI
    2010
    243views more  BMCBI 2010»
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    13 years 8 months ago
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    Download  www.biomedcentral.com
    Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
    Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
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    DC
    2008
    101views Internet Technology» more  DC 2008»
    Fast computation by population protocols with a leader
    13 years 8 months ago
    Fast computation by population protocols with a leader
    Download  www.cs.yale.edu
    Fast algorithms are presented for performing computations in a probabilistic population model. This is a variant of the standard population protocol model--in which finite-state ag...
    Dana Angluin, James Aspnes, David Eisenstat
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    JCM
    2008
    242views more  JCM 2008»
    SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
    13 years 8 months ago
    SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
    Download  www.academypublisher.com
    In this paper, we present a new simulation platform for complex, radio standard spanning mobile Ad Hoc networks. SimANet - Simulation Platform for Ambient Networks - allows the coe...
    Matthias Vodel, Matthias Sauppe, Mirko Caspar, Wol...
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    SP
    2008
    IEEE
    159views Security Privacy» more  SP 2008»
    Inferring neuronal network connectivity from spike data: A temporal data mining approach
    13 years 8 months ago
    Inferring neuronal network connectivity from spike data: A temporal data mining approach
    Download  people.cs.vt.edu
    Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
    Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
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