Networks for approximation and learning
Tóm tắt
Từ khóa
Tài liệu tham khảo
lorentz, 1986, Approximation of Functions
macqueen, 1967, Some methods of classification and analysis of multivariate observations, Proc 5th Berkeley Symposium on Math Stat and Prob, 281
baum, 1989, Advances in Neural Information Processing Systems I, 81
girosi, 1989, Networks for learning: A view from the theory of approximation of functions, Proc of the Genoa Summer School on Neural Networks and Their Applications
courant, 1962, Methods of Mathematical Physics, 2
powell, 1987, Algorithms for Approximation
tikhonov, 1963, Solution of incorrectly formulated problems and the regularization method, Soviet Math Dokl, 4, 1035
broomhead, 1988, Multivariable functional interpolation and adaptive networks, Complex Systems, 2, 321
duda, 1973, Pattern Classification and Scene Analysis
edelman, 1990, Bringing the Grandmother back into the picture a memory-based view of object recognition, 10.21236/ADA225514
farmer, 1988, Exploiting Chaos to Predict the Future and Reduce Noise
lapedes, 1987, Nonlinear signal processing using neural networks Prediction and system modelling
flash, 1985, The coordination of arm movements: An experiment confirmed mathematical model, The Journal of Neuroscience, 5, 1688, 10.1523/JNEUROSCI.05-07-01688.1985
kanerva, 1988, Sparse Distributed Memory
harris, 1989, Advances in Neural Information Processing Systems I
barron, 1988, Statistical learning networks: A unifying view, 15th Symp on the Interface of Computer Science and Statistics
omohundro, 1987, Efficient algorithms with neural network behavior, Complex Systems, 1, 273
hadamard, 1964, La theorie des equations aus derivees partielles
tikhonov, 1977, Solutions of III-Posed Problems
bertero, 1986, Inverse Problems
poggio, 1990, Extension of a theory of networks for approximation and learning Dimensionality reduction and clustering, 10.21236/ADA224517
albert, 1972, Regression and the Moore-Penrose Pseudoinverse
kirkpatrick, 1983, Optimization by simulated annealing, Science, 220, 219, 10.1126/science.220.4598.671
girosi, 1990, Extensions of a theory of networks for approximation and learning Outliers and negative examples
geiger, 1990, Lecture Notes in Computer Science, 427
mikhlin, 1965, The Problem of the Minimum of a Quadratic Functional
rice, 1964, The Approximation of Functions, 1
poggio, 1989, A theory of networks for approximation and learning
rumelhart, 1986, Parallel Distributed Processing, 318
cybenko, 1988, Continuous valued neural networks with two hidden layers are sufficient
kolmogorov, 1957, On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition, Dokl Akad Nauk SSSR, 114, 953
poggio, 1982, Physical and Biological Processing of Images, 128
gelfand, 1964, Application Computing Harmonic Analysis, 4
poggio, 1968, MIT progress in understanding images, Proceedings Image Understanding Workshop
0
aloimonos, 1989, Unification and integration of visual modules: An extension of the Marr paradigm, Proceedings Image Understanding Workshop, 507
poggio, 1989, MIT progress in understanding images, Proceedings Image Understanding Workshop, 56
stakgoid, 1979, Green's Functions and Boundary Value Problems
bochner, 1932, Akademische Verlagsgesellschaft
duchon, 1977, Constructive Theory of Functions of Several Variables, 571