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    » Learning Measurement Models for Unobserved Variables
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    UAI
    2003
    88views Artificial Intelligence» more  UAI 2003»
    Learning Measurement Models for Unobserved Variables
    13 years 6 months ago
    Learning Measurement Models for Unobserved Variables
    Download  www-2.cs.cmu.edu
    Ricardo Bezerra de Andrade e Silva, Richard Schein...
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    AAAI
    2011
    141views Intelligent Agents» more  AAAI 2011»
    Relational Blocking for Causal Discovery
    12 years 4 months ago
    Relational Blocking for Causal Discovery
    Download  www.cs.umass.edu
    Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
    Matthew J. Rattigan, Marc E. Maier, David Jensen
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    ICRA
    2007
    IEEE
    189views Robotics» more  ICRA 2007»
    Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
    13 years 11 months ago
    Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
    Download  www.inf.ed.ac.uk
    — Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
    Georgios Petkos, Sethu Vijayakumar
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    SDM
    2004
    SIAM
    142views Data Mining» more  SDM 2004»
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    13 years 6 months ago
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    Download  www.cis.hut.fi
    We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
    Ata Kabán, Ella Bingham, T. Hirsimäki
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    ACL
    2011
    181views Computational Linguistics» more  ACL 2011»
    Semi-supervised latent variable models for sentence-level sentiment analysis
    12 years 8 months ago
    Semi-supervised latent variable models for sentence-level sentiment analysis
    Download  ryanmcd.com
    We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
    Oscar Täckström, Ryan T. McDonald
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