A new polynomial-time algorithm for linear programming
Combinatorica
Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Bayesian methods for adaptive models
Bayesian methods for adaptive models
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Regularization theory and neural networks architectures
Neural Computation
The nature of statistical learning theory
The nature of statistical learning theory
Methods for combining experts' probability assessments
Neural Computation
Structural learning with forgetting
Neural Networks
Neural Computation
Enhancing Q-learning for optimal asset allocation
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Heuristics for cardinality constrained portfolio optimisation
Computers and Operations Research
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Second-Order Methods for Neural Networks
Second-Order Methods for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Neural Networks in the Capital Markets
Neural Networks in the Capital Markets
The Promise of Neural Networks
The Promise of Neural Networks
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Intelligent Systems and Financial Forecasting
Intelligent Systems and Financial Forecasting
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics
Inductive Learning Algorithms for Complex Systems Modeling
Inductive Learning Algorithms for Complex Systems Modeling
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Evolving artificial neural networks to combine financial forecasts
IEEE Transactions on Evolutionary Computation
Neural networks in financial engineering: a study in methodology
IEEE Transactions on Neural Networks
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
IEEE Transactions on Neural Networks
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