Advanced Computational Methods for Knowledge Engineering - Info and Reading Options

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Intro -- Preface -- ICCSAMA 2016 Organization -- General Chair -- General Co-chairs -- Program Chairs -- Doctoral Track Chair -- Organizing Committee -- Steering Committee -- Program Committee -- Contents -- Part I Advanced Optimization Methodsand Their Applications -- A DC Programming Approach to the Continuous Equilibrium Network Design Problem -- 1 Introduction -- 2 Problem Formulation -- 3 Solution Method by DC Programming and DCA -- 3.1 Introduction to DC Programming and DCA -- 3.2 DCA for Solving the Problem (MPCC) -- 4 Numerical Results -- 5 Conclusions -- References -- A Method for Reducing the Number of Support Vectors in Fuzzy Support Vector Machine -- 1 Introduction -- 2 Two Classes Fuzzy Support Vector Machine -- 3 FSVM with l0 Regularization -- 4 An Overview of DC Programming and DCA -- 5 DC Formulation and DCA for Problem (11) -- 6 Numerical Experiment -- 7 Conclusion -- References -- DC Programming and DCA for Transmit Beamforming and Power Allocation in Multicasting Relay Network -- 1 Introduction and Related Works -- 2 Transmit Beamforming and Power Allocation in Multicasting Relay Networks -- 3 Solution Methods by DC Programming and DCA -- 3.1 A Brief Overview of DC Programming and DCA -- 3.2 DC Programming and DCA for the Problem (10) -- 4 Experimental Results -- 4.1 Simulated Datasets and Parameter Setting -- 4.2 Numerical Results and Comments -- 5 Conclusions -- References -- Solving an Infinite-Horizon Discounted Markov Decision Process by DC Programming and DCA -- 1 Introduction -- 2 Optimization Formulations of Optimal Bellman Residual Problems -- 3 Solution Methods by DC Programming and DCA -- 3.1 Introduction of DC Programming and DCA -- 3.2 The ellp-norm Formulation of OBR Is a DC Program -- 3.3 DCA for Solving the ell1-norm Problem (11) -- 4 Numerical Experiments -- 5 Conclusion -- References

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