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## Search the dblp DataBase
Terence D. Sanger:
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## Publications of Author- Terence D. Sanger
**An Optimality Principle for Unsupervised Learning.**[Citation Graph (0, 0)][DBLP] NIPS, 1988, pp:11-19 [Conf] - Terence D. Sanger
**Basis-Function Trees as a Generalization of Local Variable Selection Methods.**[Citation Graph (0, 0)][DBLP] NIPS, 1990, pp:700-706 [Conf] - Terence D. Sanger
**A Practice Strategy for Robot Learning Control.**[Citation Graph (0, 0)][DBLP] NIPS, 1992, pp:335-341 [Conf] - Terence D. Sanger
**Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples.**[Citation Graph (0, 0)][DBLP] NIPS, 1993, pp:144-151 [Conf] - Terence D. Sanger
**Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements.**[Citation Graph (0, 0)][DBLP] NIPS, 1993, pp:614-621 [Conf] - Terence D. Sanger
**Optimal Movement Primitives.**[Citation Graph (0, 0)][DBLP] NIPS, 1994, pp:1023-1030 [Conf] - Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus
**Iterative Construction of Sparse Polynomial Approximations.**[Citation Graph (0, 0)][DBLP] NIPS, 1991, pp:1064-1071 [Conf] - Terence D. Sanger
**Failure of Motor Learning for Large Initial Errors.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2004, v:16, n:9, pp:1873-1886 [Journal] - Terence D. Sanger
**Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons.**[Citation Graph (0, 0)][DBLP] Neural Computation, 1998, v:10, n:6, pp:1567-1586 [Journal] - Terence D. Sanger
**Optimal unsupervised learning in a single-layer linear feedforward neural network.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1989, v:2, n:6, pp:459-473 [Journal] - Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger
**A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task.**[Citation Graph (0, 0)][DBLP] ICANN (2), 2007, pp:39-48 [Conf] **Failure Modes in Feedback Error Learning.**[Citation Graph (, )][DBLP]**Uniform Boundedness of Feedback Error Learning for a Class of Stochastic Nonlinear Systems.**[Citation Graph (, )][DBLP]**Equilibrium point control of a monkey arm simulator by a fast learning tree structured artificial neural network.**[Citation Graph (, )][DBLP]
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