Sentence examples for methods and neural from inspiring English sources

Bartlett has contributed to many areas of statistical learning theory, including large margin classifiers, boosting methods, kernel methods, reinforcement learning, Rademacher averages, online learning methods, and neural networks.

Bartlett has contributed to many areas of statistical learning theory, including large margin classifiers, boosting methods, kernel methods, reinforcement learning, Rademacher averages, online learning methods and neural networks.

Comparisons with the numerical methods and neural network indicate that storm surges and surge deviations can be efficiently predicted using SVR.

A significant breakthrough has been achieved using materials databases, semi-empirical methods and neural networks to aid in the design of new materials.

In this paper, the practical application of some well recognised fuzzy methods and neural networks techniques to modelling marine diesel engine cylinder dynamics using real-time data and expert knowledge has been considered.

Using deep learning methods and neural networks, the pair has helped create software for hearing aids that has already shown significant improvements in background noise reduction.

To estimate the IL and CR the statistical method and Neural Network method were used and compared.

The statistical method and neural network architectures use temperature, phase and amplitude data with phase and amplitude data coming from the so-called pulsed phase thermography approach.

An adaptive autopilot to control a skid-to-turn missile during its boost phase is designed using the state-dependent Riccati equation (SDRE) method and neural networks (NN).

The test results show that our feature vector extraction method and neural networks can be used successfully for isolated word recognition.

The results of our experiments show that the generalization error achieved with a map remains more stable over time than that achieved with conventional methods used to design failure models (discriminant analysis, logistic regression, Cox's method, and neural networks).