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    APPROX
    2010
    Springer
    188views Algorithms» more  APPROX 2010»
    Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
    13 years 10 months ago
    Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
    Download  people.csail.mit.edu
    We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
    Evdokia Nikolova
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    ICMLA
    2008
    145views Machine Learning» more  ICMLA 2008»
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    13 years 10 months ago
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    Download  www.cis.pku.edu.cn
    Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
    Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
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    MCU
    2007
    113views Hardware» more  MCU 2007»
    On the Computational Capabilities of Several Models
    13 years 10 months ago
    On the Computational Capabilities of Several Models
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    We review some results about the computational power of several computational models. Considered models have in common to be related to continuous dynamical systems. 1 Dynamical Sy...
    Olivier Bournez, Emmanuel Hainry
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    SDM
    2008
    SIAM
    161views Data Mining» more  SDM 2008»
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    13 years 10 months ago
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    Download  siam.org
    Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
    Bin Zhao, Fei Wang, Changshui Zhang
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    IJCAI
    2003
    173views Artificial Intelligence» more  IJCAI 2003»
    A Planning Algorithm for Predictive State Representations
    13 years 9 months ago
    A Planning Algorithm for Predictive State Representations
    Download  dli.iiit.ac.in
    We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
    Masoumeh T. Izadi, Doina Precup
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