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    COGSCI
    2010
    64views more  COGSCI 2010»
    A One-to-One Bias and Fast Mapping Support Preschoolers' Learning About Faces and Voices
    13 years 8 months ago
    A One-to-One Bias and Fast Mapping Support Preschoolers' Learning About Faces and Voices
    Download  www.psy.jhu.edu
    A multi-modal person representation contains information about what a person looks like and what a person sounds like. However, little is known about how children form these face-...
    Mariko Moher, Lisa Feigenson, Justin Halberda
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    CORR
    2008
    Springer
    157views Education» more  CORR 2008»
    The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
    13 years 8 months ago
    The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
    Download  boris.ryabko.net
    Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
    Boris Ryabko
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    EACL
    2006
    ACL Anthology
    183views Natural Language Processing» more  EACL 2006»
    Weakly Supervised Approaches for Ontology Population
    13 years 9 months ago
    Weakly Supervised Approaches for Ontology Population
    Download  acl.ldc.upenn.edu
    We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
    Hristo Tanev, Bernardo Magnini
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    NAACL
    2007
    156views Computational Linguistics» more  NAACL 2007»
    Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
    13 years 9 months ago
    Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
    Download  acl.ldc.upenn.edu
    Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
    Andrei Alexandrescu, Katrin Kirchhoff
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    ICANN
    2009
    Springer
    159views Neural Networks» more  ICANN 2009»
    Learning Features by Contrasting Natural Images with Noise
    14 years 2 months ago
    Learning Features by Contrasting Natural Images with Noise
    Download  www.cs.helsinki.fi
    Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
    Michael Gutmann, Aapo Hyvärinen
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