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whym's machine-learning [12 articles]

当前文献位于 whym's 文献库 标签分类为 machine-learning. You can also see everyone's machine-learning.
  • CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
    Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 3142-3147.
    by B Limketkai, D Fox, Lin Liao
    posted to machine-learning by whym on 2008-05-22 06:19:38 as **
  • Random projection in dimensionality reduction: applications to image and text data
    (2001), pp. 245-250.
    by Ella Bingham, Heikki Mannila
    posted to machine-learning by whym on 2008-05-08 11:01:02 as ** along with 2 people jelsas yama_tah
  • Accelerated training of conditional random fields with stochastic gradient methods
    (2006)
    by Nicol N Vishwanathan
    posted to algorithm machine-learning by whym on 2008-05-02 07:59:14 as ** along with 1 person markusd
  • Scaling to very very large corpora for natural language disambiguation
    (2001), pp. 26-33.
    by Michele Banko, Eric Brill
    posted to active-learning machine-learning spelling-correction by whym on 2007-12-22 15:42:18 as ** along with 2 people vlachmore kawatan
  • Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Louis-Philippe Morency, Ariadna Quattoni, Trevor Darrell
    posted to machine-learning sequence-labeling by whym on 2007-12-13 08:26:21 as **
  • Exponential Priors for Maximum Entropy Models
    (2003)
    by J Goodman
    posted to bayesian machine-learning maximum-entropy by whym on 2007-11-29 06:53:19 as *** along with 2 people delip markusd
  • Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms
    (2002), pp. 1-8.
    by Michael Collins
    posted to hidden-markov-models machine-learning perceptron by whym on 2007-07-16 17:32:03 as ***
  • Semi-Markov Conditional Random Fields for Information Extraction
    by Sunita Sarawagi, William W Cohen
    posted to graphical-models machine-learning segmentation sequence-labeling by whym on 2007-07-11 13:53:50 as ** along with 4 people nlarusso davidr iris_2001 pdlug
  • Strong Markov Random Field Model
    by Rupert Paget
    posted to graphical-models machine-learning maximum-entropy by whym on 2007-05-29 23:58:20 as **
  • Maximum Entropy Markov Models for Information Extraction and Segmentation
    (2000), pp. 591-598.
    by Andrew Mccallum, Dayne Freitag, Fernando Pereira
    posted to machine-learning maximum-entropy sequence-labeling by whym on 2007-05-29 09:38:33 as ** along with 6 people halacsy unnonouno buescher76 lyongu syoyo Kazuki
  • A comparison of algorithms for maximum entropy parameter estimation
    (2002), pp. 1-7.
    by Robert Malouf
    posted to machine-learning maximum-entropy optimization by whym on 2007-05-29 01:04:31 as ** along with 3 people lfriedl erikv bhaddow
  • Efficient Training of Conditional Random Fields
    (2002)
    by Hanna Wallach
    posted to dynamic-programming graphical-models machine-learning sequence-labeling by whym on 2007-04-22 13:56:14 as ****
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