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    NIPS
    1998
    74views Information Technology» more  NIPS 1998»
    Restructuring Sparse High Dimensional Data for Effective Retrieval
    13 years 5 months ago
    Restructuring Sparse High Dimensional Data for Effective Retrieval
    Download  www.cs.rutgers.edu
    The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
    Charles Lee Isbell Jr., Paul A. Viola
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    NIPS
    1998
    147views Information Technology» more  NIPS 1998»
    Convergence of the Wake-Sleep Algorithm
    13 years 5 months ago
    Convergence of the Wake-Sleep Algorithm
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    The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm can be applied to a factor analysis model which is a...
    Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
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    NIPS
    1998
    138views Information Technology» more  NIPS 1998»
    Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
    13 years 5 months ago
    Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
    Download  lib.tkk.fi
    Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previo...
    Jaakko Hollmén, Volker Tresp
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    NIPS
    1998
    112views Information Technology» more  NIPS 1998»
    Learning from Dyadic Data
    13 years 5 months ago
    Learning from Dyadic Data
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    Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
    Thomas Hofmann, Jan Puzicha, Michael I. Jordan
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    NIPS
    1998
    153views Information Technology» more  NIPS 1998»
    Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
    13 years 5 months ago
    Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
    Download  www.hds.utc.fr
    Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
    Yves Grandvalet, Stéphane Canu
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    NIPS
    1998
    156views Information Technology» more  NIPS 1998»
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    13 years 5 months ago
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    Download  www.cs.nyu.edu
    The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
    Zoubin Ghahramani, Sam T. Roweis
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    NIPS
    1998
    80views Information Technology» more  NIPS 1998»
    Efficient Bayesian Parameter Estimation in Large Discrete Domains
    13 years 5 months ago
    Efficient Bayesian Parameter Estimation in Large Discrete Domains
    Download  www.cs.huji.ac.il
    In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
    Nir Friedman, Yoram Singer
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    NIPS
    1998
    85views Information Technology» more  NIPS 1998»
    Global Optimisation of Neural Network Models via Sequential Sampling
    13 years 5 months ago
    Global Optimisation of Neural Network Models via Sequential Sampling
    Download  mi.eng.cam.ac.uk
    We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
    João F. G. de Freitas, Mahesan Niranjan, Ar...
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    NIPS
    1998
    129views Information Technology» more  NIPS 1998»
    Learning to Estimate Scenes from Images
    13 years 5 months ago
    Learning to Estimate Scenes from Images
    Download  www.merl.com
    We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
    William T. Freeman, Egon C. Pasztor
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    NIPS
    1998
    77views Information Technology» more  NIPS 1998»
    Optimizing Correlation Algorithms for Hardware-Based Transient Classification
    13 years 5 months ago
    Optimizing Correlation Algorithms for Hardware-Based Transient Classification
    Download  www.isn.ucsd.edu
    R. Timothy Edwards, Gert Cauwenberghs, Fernando J....
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