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    ML
    2015
    ACM
    26views Machine Learning» more  ML 2015»
    Direct conditional probability density estimation with sparse feature selection
    8 years 7 months ago
    Direct conditional probability density estimation with sparse feature selection
    Download  www.ms.k.u-tokyo.ac.jp
    Regression is a fundamental problem in statistical data analysis, which aims at estimating the conditional mean of output given input. However, regression is not informative enoug...
    Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama
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    ML
    2015
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    26views Machine Learning» more  ML 2015»
    Greedy learning of latent tree models for multidimensional clustering
    8 years 7 months ago
    Greedy learning of latent tree models for multidimensional clustering
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    Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, Ap...
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    ML
    2015
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    19views Machine Learning» more  ML 2015»
    Unconfused ultraconservative multiclass algorithms
    8 years 7 months ago
    Unconfused ultraconservative multiclass algorithms
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    We tackle the problem of learning linear classifiers from noisy datasets in a multiclass setting. The two-class version of this problem was studied a few years ago by, e.g. Bylan...
    Ugo Louche, Liva Ralaivola
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    2015
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    25views Machine Learning» more  ML 2015»
    The effect of splitting on random forests
    8 years 7 months ago
    The effect of splitting on random forests
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    Hemant Ishwaran
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    ML
    2015
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    28views Machine Learning» more  ML 2015»
    Unsupervised ensemble minority clustering
    8 years 7 months ago
    Unsupervised ensemble minority clustering
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    Cluster analysis lies at the core of most unsupervised learning tasks. However, the majority of clustering algorithms depend on the all-in assumption, in which all objects belong ...
    Edgar González, Jordi Turmo
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    ML
    2015
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    6views Machine Learning» more  ML 2015»
    Learning relational dependency networks in hybrid domains
    8 years 7 months ago
    Learning relational dependency networks in hybrid domains
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    Irma Ravkic, Jan Ramon, Jesse Davis
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    ML
    2015
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    11views Machine Learning» more  ML 2015»
    Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
    8 years 7 months ago
    Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
    Download  researchcommons.waikato.ac.nz
    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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    ML
    2015
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    8views Machine Learning» more  ML 2015»
    Soft-max boosting
    8 years 7 months ago
    Soft-max boosting
    Download  www.metz.supelec.fr
    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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    2015
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    18views Machine Learning» more  ML 2015»
    A framework to uncover multiple alternative clusterings
    8 years 7 months ago
    A framework to uncover multiple alternative clusterings
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    Xuan Hong Dang, James Bailey
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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
    8 years 7 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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