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Jayadeva: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shantanu Chakrabartty, Gert Cauwenberghs, Jayadeva
    Sparse Probability Regression by Label Partitioning. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:231-242 [Conf]
  2. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:360-363 [Conf]
  3. Jayadeva
    Sequential Chaotic Annealing and its Application to Multilayer Channel Routing. [Citation Graph (0, 0)][DBLP]
    VLSI Design, 1999, pp:570-573 [Conf]
  4. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Fast and robust learning through fuzzy linear proximal support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:61, n:, pp:401-411 [Journal]
  5. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Fuzzy linear proximal support vector machines for multi-category data classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:67, n:, pp:426-435 [Journal]
  6. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Twin Support Vector Machines for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:5, pp:905-910 [Journal]
  7. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Fuzzy multi-category proximal support vector classification via generalized eigenvalues. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:7, pp:679-685 [Journal]

  8. Mathematical Modeling and Convergence Analysis of Trail Formation. [Citation Graph (, )][DBLP]


  9. Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. [Citation Graph (, )][DBLP]


  10. Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. [Citation Graph (, )][DBLP]


  11. Kernel Optimization Using a Generalized Eigenvalue Approach. [Citation Graph (, )][DBLP]


  12. Zero Norm Least Squares Proximal SVR. [Citation Graph (, )][DBLP]


  13. A neural network for the Steiner minimal tree problem. [Citation Graph (, )][DBLP]


  14. Optimization with neural networks: a recipe for improving convergence and solution quality. [Citation Graph (, )][DBLP]


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