Jayadeva

	2012
26		Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra: Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing 77(1): 253-260 (2012)
	2011
25		Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra: M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI 2011
24		Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra: Reduced twin support vector regression. Neurocomputing 74(9): 1474-1477 (2011)
	2010
23		Reshma Khemchandani, Jayadeva, Suresh Chandra: Learning the optimal kernel for Fisher discriminant analysis via second order cone programming. European Journal of Operational Research 203(3): 692-697 (2010)
22		Ganesh R. Naik, Dinesh Kant Kumar, Jayadeva: Twin SVM for gesture classification using the surface electromyogram. IEEE Transactions on Information Technology in Biomedicine 14(2): 301-308 (2010)
21		Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra: Trail formation in ants. A generalized Polya urn process. Swarm Intelligence 4(2): 145-171 (2010)
	2009
20		Jayadeva, Sameena Shah, Suresh Chandra: Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI 2009: 32-37
19		Jayadeva, Sameena Shah, Suresh Chandra: Zero Norm Least Squares Proximal SVR. PReMI 2009: 38-43
18		Reshma Khemchandani, Jayadeva, Suresh Chandra: Knowledge based proximal support vector machines. European Journal of Operational Research 195(3): 914-923 (2009)
17		Reshma Khemchandani, Jayadeva, Suresh Chandra: Regularized least squares fuzzy support vector regression for financial time series forecasting. Expert Syst. Appl. 36(1): 132-138 (2009)
16		Reshma Khemchandani, Jayadeva, Suresh Chandra: Optimal kernel selection in twin support vector machines. Optimization Letters 3(1): 77-88 (2009)
	2008
15		Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra: Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI 2008: 170-175
14		Jayadeva, Reshma Khemchandani, Suresh Chandra: Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives. Inf. Sci. 178(17): 3402-3414 (2008)
13		V. Girish, Jayadeva, Saeid Nooshabadi: Design methodology for configurable analog to digital conversion using support vector machines. Microelectronics Journal 39(5): 822-827 (2008)
	2007
12		Jayadeva, Reshma Khemchandani, Suresh Chandra: Twin Support Vector Machines for Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 905-910 (2007)
11		Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra: SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. IEEE Transactions on Neural Networks 18(4): 1016-1030 (2007)
10		Jayadeva, Reshma Khemchandani, Suresh Chandra: Fuzzy multi-category proximal support vector classification via generalized eigenvalues. Soft Comput. 11(7): 679-685 (2007)
	2006
9		Jayadeva, Reshma Khemchandani, Suresh Chandra: Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. IJCNN 2006: 1192-1197
8		Jayadeva, Reshma Khemchandani, Suresh Chandra: Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. IJCNN 2006: 593-598
	2005
7		Jayadeva, Reshma Khemchandani, Suresh Chandra: Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. PReMI 2005: 360-363
6		Jayadeva, Reshma Khemchandani, Suresh Chandra: Fuzzy linear proximal support vector machines for multi-category data classification. Neurocomputing 67: 426-435 (2005)
	2004
5		Jayadeva, Reshma Khemchandani, Suresh Chandra: Fast and robust learning through fuzzy linear proximal support vector machines. Neurocomputing 61: 401-411 (2004)
	2003
4		Shantanu Chakrabartty, Gert Cauwenberghs, Jayadeva: Sparse Probability Regression by Label Partitioning. COLT 2003: 231-242
	1999
3		Jayadeva: Sequential Chaotic Annealing and its Application to Multilayer Channel Routing. VLSI Design 1999: 570-573
	1994
2		Jayadeva, Basabi Bhaumik: A neural network for the Steiner minimal tree problem. Biological Cybernetics 70(5): 485-494 (1994)
	1992
1		Jayadeva, Basabi Bhaumik: Optimization with neural networks: a recipe for improving convergence and solution quality. Biological Cybernetics 67(5): 445-449 (1992)

Coauthor Index

1	Puneet Ahuja	[24]
2	Basabi Bhaumik	[1] [2]
3	Gert Cauwenberghs	[4]
4	Jivitej Chadha	[24]
5	Shantanu Chakrabartty	[4]
6	Suresh Chandra	[5] [6] [7] [8] [9] [10] [11] [12] [14] [15] [16] [17] [18] [19] [20] [21] [23] [24] [25] [26]
7	Alok Kanti Deb	[11]
8	V. Girish	[13]
9	Madan Gopal	[11]
10	Sachindra Joshi	[26]
11	Reshma Khemchandani	[5] [6] [7] [8] [9] [10] [12] [14] [16] [17] [18] [23]
12	Ravi Kothari	[15] [21] [25]
13	Dinesh Kant Kumar	[22]
14	Ganesh R. Naik	[22]
15	Saeid Nooshabadi	[13]
16	Ganesh Ramakrishnan	[26]
17	Sameena Shah	[15] [19] [20] [21] [25]
18	Mittul Singh	[24]

Colors in the list of coauthors

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