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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]