dblp: Machine Learning, Volume 98 (original) (raw)

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Volume 98, Numbers 1-2, January 2015

Special issue on MultiClust: discovering, summarizing and using multiple clusterings

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    Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy:
    MultiClust special issue on discovering, summarizing and using multiple clusterings. 1-5
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    Xuan-Hong Dang, James Bailey:
    A framework to uncover multiple alternative clusterings. 7-30
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    Kleanthis-Nikolaos Kontonasios, Tijl De Bie:
    Subjectively interesting alternative clusterings. 31-56
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    Duy Tin Truong, Roberto Battiti:
    A flexible cluster-oriented alternative clustering algorithm for choosing from the Pareto front of solutions. 57-91
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    Eric Bae, James Bailey:
    Enriched spatial comparison of clusterings through discovery of deviating subspaces. 93-120
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    Arthur Zimek, Jilles Vreeken:
    The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. 121-155
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    Haytham Elghazel, Alex Aussem:
    Unsupervised feature selection with ensemble learning. 157-180
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    Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
    Metacluster-based Projective Clustering Ensembles. 181-216
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    Edgar Gonzàlez, Jordi Turmo:
    Unsupervised ensemble minority clustering. 217-268
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    Natthakan Iam-on, Tossapon Boongoen:
    Comparative study of matrix refinement approaches for ensemble clustering. 269-300
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    Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang:
    Greedy learning of latent tree models for multidimensional clustering. 301-330
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    André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
    Probabilistic consensus clustering using evidence accumulation. 331-357

Volume 98, Number 3, March 2015

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    Youness Aliyari Ghassabeh:
    Asymptotic stability of equilibrium points of mean shift algorithm. 359-368
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    Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu:
    An efficient primal dual prox method for non-smooth optimization. 369-406
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    Loïc Le Gratiet, Josselin Garnier:
    Asymptotic analysis of the learning curve for Gaussian process regression. 407-433
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    Georgi Dimitroff, Georgi Georgiev, Laura Tolosi, Borislav Popov:
    Efficient F measure maximization via weighted maximum likelihood. 435-454
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    Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes:
    Evaluation methods and decision theory for classification of streaming data with temporal dependence. 455-482

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