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The Pennsylvania State University CiteSeerX Archives (45)
Oskar Kohonen (4)
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Sami Virpioja (4)
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Hits 1 – 20 of 45
1
O.: Unsupervised Morpheme Discovery with Allomorfessor
Sami Virpioja
;
Oskar Kohonen
In: http://research.ics.aalto.fi/events/morphochallenge2009/papers/virpioja-paperCLEF2009.pdf (2009)
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2
Learning phonetic categories by tracking movements
Bruno Gauthier
;
Rushen Shi
;
Yi Xu
In: http://www.phon.ucl.ac.uk/research/learningphonetics.pdf (2007)
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3
E.: Data security analysis using unsupervised learning and explanations
G. Corral
;
E. Armengol
;
A. Fornells
...
In: http://www.iiia.csic.es/files/pdfs/1572.pdf (2007)
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4
Dictionary Definitions: The Likes and the Unlikes
Anagha Kulkarni
;
Jamie Callan
;
Maxine Eskenazi
In: http://isca-speech.org/archive_open/archive_papers/slate_2007/sle7_073.pdf (2007)
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5
Unsupervised Acquiring of Morphological Paradigms from Tokenized Text
Daniel Zeman
;
Univerzita Karlova
In: http://ufal.mff.cuni.cz/~zeman/publikace/2007-01/mc2007.pdf (2007)
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6
Learning phonetic categories by tracking movements
Bruno Gauthier
;
Rushen Shi
;
Yi Xu
In: http://mac6.phon.ucl.ac.uk/yispapers/gauthieretal_inpress.pdf (2006)
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7
Unsupervised morphological parsing of Bengali. Language Resources and Evaluation
Sajib Dasgupta
;
Vincent Ng
In: http://www.hlt.utdallas.edu/~sajib/LRE.fdf (2006)
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8
Where do Phonemes Come from? A View from the Bottom
John R. Taylor
In: http://www.otago.ac.nz/linguistics/where do phonemes come from.pdf (2006)
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9
A hierarchical naive Bayes mixture model for name disambiguation in author citations
Hui Han
;
Wei Xu
;
Hongyuan Zha
...
In: http://clgiles.ist.psu.edu/papers/SAC-2005-Naive-Bayes-Mixture.pdf (2005)
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10
Measuring Praise and Criticism: Inference of Semantic Orientation from Association
Peter Turney
;
Michael Littman
In: http://cogprints.ecs.soton.ac.uk/archive/00003164/01/turney-littman-acm.pdf (2003)
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11
Towards a unified account of supervised and unsupervised learning
Todd M. Gureckis
;
Bradley C. Love
In: http://cognitrn.psych.indiana.edu/rgoldsto/courses/concepts/Gureckis.pdf (2003)
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12
Towards a unified account of supervised and unsupervised learning
Todd M. Gureckis
;
Bradley C. Love
In: http://smash.psych.nyu.edu/papers/jetai.pdf (2003)
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13
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming
Dimitar Kazakov
;
Suresh Manandhar
In: http://www-users.cs.york.ac.uk/~suresh/Homepage/mlj00.ps.gz (2001)
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14
Unsupervised Learning by Probabilistic Latent Semantic Analysis
Thomas Hofmann
In: http://www.cs.bham.ac.uk/~pxt/IDA/plsa.pdf (2001)
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15
Unsupervised learning by probabilistic latent semantic analysis
Thomas Hofmann
In: http://www.cs.ualberta.ca/~swang/cs886/hofmann.pdf (2001)
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16
Running head: Probabilistic segmentation and word discovery An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery
Michael R. Brent
;
Address Michael
;
R. Brent
In: http://arxiv.org/pdf/cs/9905007v1.pdf (1999)
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17
An efficient, probabilistically sound algorithm for segmentation and word discovery
Michael R. Brent
In: http://www.springerlink.com/content/g840p555100429vj/fulltext.pdf (1999)
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18
A Corpus-based Conceptual Clustering Method for Verb Frames and Ontology Acquisition
David Faure
;
Claire Nédellec
In: http://www.lri.fr/Francais/Recherche/ia/articles/cn/1998/faure98d.ps.gz (1998)
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19
A Neural Network Simulation of Child Language Development at the One-word Stage
Syed Sibte Raza Abidi
;
Syed Sibte
;
Raza Abidi
In: http://161.142.8.254/ssra/paper16.ps (1996)
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20
UNGRADE:UNsupervised GRAph DEcomposition
Bruno Golénia
;
Sebastian Spiegler
;
Peter Flach
In: http://clef-campaign.org/2009/working_notes/morpho-papers/golenia-paperCLEF2009.pdf
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