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    ESANN
    2008
    139views Neural Networks» more  ESANN 2008»
    Multi-class classification of ovarian tumors
    13 years 6 months ago
    Multi-class classification of ovarian tumors
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    In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
    Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
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    ESANN
    2008
    110views Neural Networks» more  ESANN 2008»
    Factored sequence kernels
    13 years 6 months ago
    Factored sequence kernels
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    In this paper we propose an extension of sequence kernels to the case where the symbols that define the sequences have multiple representations. This configuration occurs in natura...
    Pierre Mahé, Nicola Cancedda
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    ESANN
    2008
    126views Neural Networks» more  ESANN 2008»
    Improving a statistical language model by modulating the effects of context words
    13 years 6 months ago
    Improving a statistical language model by modulating the effects of context words
    Download  www.dice.ucl.ac.be
    We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
    Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
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    ESANN
    2008
    111views Neural Networks» more  ESANN 2008»
    Self-Organizing Maps for cyclic and unbounded graphs
    13 years 6 months ago
    Self-Organizing Maps for cyclic and unbounded graphs
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    Abstract. This paper introduces a new concept to the processing of graph structured information using self organising map framework. Previous approaches to this problem were limite...
    Markus Hagenbuchner, Alessandro Sperduti, Ah Chung...
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    ESANN
    2008
    118views Neural Networks» more  ESANN 2008»
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    13 years 6 months ago
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    Download  www.dice.ucl.ac.be
    Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
    Zöhre Kara Kayikci, Günther Palm
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    ESANN
    2008
    122views Neural Networks» more  ESANN 2008»
    GeoKernels: modeling of spatial data on geomanifolds
    13 years 6 months ago
    GeoKernels: modeling of spatial data on geomanifolds
    Download  www.dice.ucl.ac.be
    This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
    Alexei Pozdnoukhov, Mikhail F. Kanevski
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    ESANN
    2008
    142views Neural Networks» more  ESANN 2008»
    Interpretable ensembles of local models for safety-related applications
    13 years 6 months ago
    Interpretable ensembles of local models for safety-related applications
    Download  www.dice.ucl.ac.be
    Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
    Sebastian Nusser, Clemens Otte, Werner Hauptmann
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    ESANN
    2008
    100views Neural Networks» more  ESANN 2008»
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    13 years 6 months ago
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    Download  www.dice.ucl.ac.be
    An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...
    Tomasz Talaska, Rafal Dlugosz
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    ESANN
    2008
    113views Neural Networks» more  ESANN 2008»
    Do we need experts for time series forecasting?
    13 years 6 months ago
    Do we need experts for time series forecasting?
    Download  www.dice.ucl.ac.be
    This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
    Christiane Lemke, Bogdan Gabrys
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    ESANN
    2008
    188views Neural Networks» more  ESANN 2008»
    SOM based clustering with instance-level constraints
    13 years 6 months ago
    SOM based clustering with instance-level constraints
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    This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
    Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
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