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    95
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    ML
    2015
    ACM
    11views Machine Learning» more  ML 2015»
    Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
    9 years 11 months ago
    Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
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    We prove theoretical guarantees for an averaging-ensemble of randomly projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observat...
    Robert J. Durrant, Ata Kabán
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    96
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    ML
    2015
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    8views Machine Learning» more  ML 2015»
    Soft-max boosting
    9 years 11 months ago
    Soft-max boosting
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    The standard multi-class classification risk, based on the binary loss, is rarely directly minimized. This is due to (i) the lack of convexity and (ii) the lack of smoothness (and...
    Matthieu Geist
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    71
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    ML
    2015
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    18views Machine Learning» more  ML 2015»
    A framework to uncover multiple alternative clusterings
    9 years 11 months ago
    A framework to uncover multiple alternative clusterings
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    Xuan Hong Dang, James Bailey
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    89
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    2015
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    22views Machine Learning» more  ML 2015»
    Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine le
    9 years 11 months ago
    Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine le
    Download  jmlr.org
    Many problems in statistics and machine learning (e.g., probabilistic graphical model, feature extraction, clustering and classification, etc) can be (re)formulated as linearly c...
    Zhouchen Lin, Risheng Liu, Huan Li
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    68
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    2015
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    11views Machine Learning» more  ML 2015»
    Probabilistic (logic) programming concepts
    9 years 11 months ago
    Probabilistic (logic) programming concepts
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    Abstract A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex...
    Luc De Raedt, Angelika Kimmig
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    86
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    2015
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    19views Machine Learning» more  ML 2015»
    A Bayesian approach for comparing cross-validated algorithms on multiple data sets
    9 years 11 months ago
    A Bayesian approach for comparing cross-validated algorithms on multiple data sets
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    We present a Bayesian approach for making statistical inference about the accuracy (or any other score) of two competing algorithms which have been assessed via cross-validation on...
    Giorgio Corani, Alessio Benavoli
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    80
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    2015
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    25views Machine Learning» more  ML 2015»
    Additive regularization of topic models
    9 years 11 months ago
    Additive regularization of topic models
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    Abstract. Probabilistic topic modeling of text collections is a powerful tool for statistical text analysis. Determining the optimal number of topics remains a challenging problem ...
    Konstantin Vorontsov, Anna Potapenko
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    88
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    ML
    2015
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    16views Machine Learning» more  ML 2015»
    Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
    9 years 11 months ago
    Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
    Download  spiral.imperial.ac.uk
    In recent years Predicate Invention has been underexplored within Inductive Logic Programming due to difficulties in formulating efficient search mechanisms. However, a recent p...
    Stephen H. Muggleton, Dianhuan Lin, Alireza Tamadd...
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    80
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    17views Machine Learning» more  ML 2015»
    Using causal discovery for feature selection in multivariate numerical time series
    9 years 11 months ago
    Using causal discovery for feature selection in multivariate numerical time series
    Download  nugget.unisa.edu.au
    Youqiang Sun, Jiuyong Li, Jixue Liu, Christopher C...
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    82
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    2015
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    12views Machine Learning» more  ML 2015»
    Enriched spatial comparison of clusterings through discovery of deviating subspaces
    9 years 11 months ago
    Enriched spatial comparison of clusterings through discovery of deviating subspaces
    Download  people.eng.unimelb.edu.au
    Eric Bae, James Bailey
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