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Number of items: 8.

Sastry, PS and Unnikrishnan, KP (2010) Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains. In: Neural Computation, 22 (4). pp. 1025-1059.

Shevade, Shirish and Sundararajan, S (2009) Validation-Based Sparse Gaussian Process Classifier Design. In: Neural Computation, 21 (7). pp. 2082-2103.

Sundararajan, S and Shevade, Shirish and Keerthi, Sathiya S (2007) Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. In: Neural Computation, 19 (1). pp. 283-301.

Sastry, PS and Magesh, M and Unnikrishnan, KP (2002) Two timescale analysis of the Alopex algorithm for optimization. In: Neural Computation, 14 (11). pp. 2729-2750.

Sundararajan, S and Keerthi, SS (2001) Predictive approaches for choosing hyperparameters in Gaussian processes. In: Neural Computation, 13 (5). pp. 1103-1118.

Keerthi, SS and Shevade, SK and Bhattacharyya, C and Murthy, KRK (2001) Improvements to Platt's SMO algorithm for SVM classifier design. In: Neural Computation, 13 (3). pp. 637-649.

Chengxiang, Zhang and Dasgupta, Chandan and Singh, Manoranjan P (2000) Retrieval properties of a Hopfield model with random asymmetric interactions. In: Neural Computation, 12 (4). pp. 865-880.

Phansalkar, VV and Thathachar, MAL (1995) Local and global optimization algorithms for generalized learning automata. In: Neural Computation, 7 (5). pp. 950-973.

This list was generated on Mon Apr 19 21:45:43 2021 IST.