and related approaches: decision trees, mixtures of experts

[*chronological (1984-1998)* x *alphabetical order*]

- L. Breiman, J. H. Friedman, R. A. Olshen and C. J. Stone,
*Classification and regression trees*, Wadsworth Int. Group, Belmont CA, 1984 - S.I. Gallant,
"Three constructive algorithms for network learning",
*Proc. 8th Ann Conf of Cognitive Science Soc.*(Amherst, MA 15-17 august 1986), pp. 652-660, 1986 - J. R. Quinlan,
"Induction of decision trees",
*Machine Learning*, 1, pp. 81-106, 1986 - T. Grossman, R. Meir and E. Domany,
"Learning by choice of internal representations",
*Complex Systems*, 2, pp. 555-575, 1988 - M. Bichsel and P. Seitz,
"Minimum class entropy: a maximum information approach to layered networks",
*Neural Networks*, 2, pp. 133-141, 1989 - S. Knerr, L. Personnaz and G. Dreyfus,
"Single layer learning revisited: a stepwise procedure for building
and training a neural network",
In F. Fogelman and J. Hérault, editors,
*Proc. NATO workshop Les Arcs 1989*, Springer, 1989 - M. Marchand, M. Golea and P. Rujan,
"A convergence theorem for sequential learning in two-layer perceptrons",
*Europhys. Lett.*, 11, pp. 487-492, 1989 - M. Mézard and J.-P. Nadal,
"Learning in feedforward layered networks: the tiling algorithm",
*J. Phys. A: Math. and Gen.*, 22, pp. 2191-2203, 1989 - J.-P. Nadal,
"Study of a growth algorithm for a feedforward network",
*International Journal of Neural Systems*, 1, pp. 55-59, 1989 - P. Rujan and M. Marchand,
"Learning by minimizing resources in neural networks",
*Complex Systems*, 3, pp. 229-242, 1989 - P. E. Utgoff,
"Perceptron trees: A case study in hybrid concept representations",
*Connection Science*, 1, pp. 377-391, 1989 - M. Frean,
"The upstart algorithm: a method for constructing and training
feedforward neural networks",
*Neural Computation*, 2, pp. 198-209, 1990 - M. Golea and M. Marchand,
"A growth algorithm for neural network decision trees",
*Europhys. Lett.*, 12, pp. 105-110, 1990 - J.A. Sirat and J.-P. Nadal,
"Neural trees: a new tool for classification",
*Network*, 1, pp. 423-438, 1990 - M. Biehl and M. Opper,
"Tilinglike learning in the parity machine",
*Phys. Rev. A*44, pp. 6888-6894, 1991 - D. Martinez and D. Estève,
"The offset algorithm: building and learning method for multilayer neural networks",
*Europhys. Lett.*, 18, pp. 95-100, 1992 - F. d'Alché-Buc, D. Zwierski and J.-P. Nadal,
"Trio learning: a new strategy for building hybrid neural trees",
*Neural Networks for Computing, Snowbird*1993, and:*Int. Journ. of Neur. Syst.*, 5, pp. 259-274, 1994 - F. d'Alché-Buc, J.-P. Nadal and D. Zwierski,
"Hybrid trees for supervised learning: towards extraction of decision rules"
*Proc. ECAI'94 Workshop on Combining Symbolic and Connectionist Processing (Amsterdam)*, pp. 133-142, 1994 - M.I. Jordan and R.A. Jacobs,
"Hierarchical mixtures of experts and the EM algorithm",
*Neural Computation*, 6, pp. 181-214, 1994 - F. d'Alché-Buc and J.-P. Nadal,
"Asymptotic performance of a constructive algorithm",
*Neural Processing Letters*, 2, pp. 1-4, 1995 - J. M. Torres Moreno, P. Peretto and M. B. Gordon,
"An evolutive architecture coupled with optimal perceptron learning for classification",
in M. Veyrleysen, editor,
*European Symposium on Artificial Neural Networks*, pp. 365-370, 1995 - P. E. Utgoff, N. C. Berkman and J. A. Clouse,
"Decision tree induction based on efficient tree restructuring",
*Machine Learning*, 29, pp. 5-44, 1997 - J. Manuel Torres Moreno and Mirta B. Gordon,
"Efficient Adaptive Learning for Classification Tasks with Binary Units",
*Neural Computation*, 10(4), pp. 1007-1030, 1998.

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