N. Nikolaev

发表

Concepts of Inductive Genetic Programming

Nikolay I. Nikolaev, Vanio Slavov, N. Nikolaev, 1998, EuroGP.

Nonlinear Filtering of Asymmetric Stochastic Volatility Models and VaR Estimation

N. Nikolaev, 2014 .

Volatility Forecasting with Sparse Bayesian Kernel Models

N. Nikolaev, X. Yao, 2005 .

The Dynamics of Biased Inductive Genetic Programming

N. Nikolaev, 2007 .

Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming

Nikolay I. Nikolaev, N. Nikolaev, 2001, Softw. Focus.

Inductive genetic programming with immune network dynamics

Hitoshi Iba, Nikolay I. Nikolaev, Vanio Slavov, 1999 .

Regularization approach to inductive genetic programming

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2001, IEEE Trans. Evol. Comput..

Sequential Bayesian kernel modelling with non-Gaussian noise

Nikolay I. Nikolaev, Lilian M. de Menezes, L. D. Menezes, 2008, Neural Networks.

A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems

Nikolay I. Nikolaev, Evgueni N. Smirnov, N. Nikolaev, 2007, ICANN.

Learning polynomial feedforward neural networks by genetic programming and backpropagation

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2003, IEEE Trans. Neural Networks.

Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2011, Neural Computing and Applications.

Recursive Bayesian Recurrent Neural Networks for Time-Series Modeling

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2010, IEEE Transactions on Neural Networks.

Time-dependent series variance learning with recurrent mixture density networks

Peter Tiño, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2013, Neurocomputing.

Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation

Robert Zimmer, Nikolay I. Nikolaev, Georgi N. Boshnakov, 2013, Expert Syst. Appl..

Efficient online recurrent connectionist learning with the ensemble Kalman filter

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2010, Neurocomputing.

Automated Discovery of Polynomials by Inductive Genetic Programming

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 1999, PKDD.

Time-Dependent Series Variance Estimation via Recurrent Neural Networks

Peter Tiño, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2011, ICANN.

Inductive Genetic Programming with Decision Trees

Nikolay I. Nikolaev, Vanio Slavov, N. Nikolaev, 1997, Intell. Data Anal..

Fitness Landscapes and Inductive Genetic Programming

Nikolay I. Nikolaev, Vanio Slavov, N. Nikolaev, 1997, ICANNGA.

Description Identification and the Consistency Problem

Nikolay I. Nikolaev, Evgueni N. Smirnov, Georgi I. Nalbantov, 2008, SGAI Conf..

Generalizing Version Space Support Vector Machines for Non-Separable Data

Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Single-Stacking Conformity Approach to Reliable Classification

Nikolay I. Nikolaev, Evgueni N. Smirnov, Georgi I. Nalbantov, 2010, AIMSA.

Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation

Nikolay I. Nikolaev, Evgueni N. Smirnov, Lilian M. de Menezes, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Learning polynomial feedforward neural networks by genetic programming and backpropagation

H. Iba, N. Nikolaev, 2003, IEEE Trans. Neural Networks.

Overfitting avoidance in genetic programming of polynomials

Hitoshi Iba, Nikolay I. Nikolaev, Lilian M. de Menezes, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Accelerated Genetic Programming of Polynomials

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2001, Genetic Programming and Evolvable Machines.

Genetic programming of polynomial harmonic models using the discrete Fourier transform

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Genetic programming polynomial models of financial data series

Hitoshi Iba, Nikolay Y. Nikolaev, H. Iba, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

Analytical factor stochastic volatility modeling for portfolio allocation

Nikolay I. Nikolaev, Evgueni N. Smirnov, N. Nikolaev, 2012, 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Polynomial harmonic GMDH learning networks for time series modeling

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2003, Neural Networks.

Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2008, 2008 Seventh International Conference on Machine Learning and Applications.