Learning from Data: Concepts, Theory, and Methods

Intra-sentence segmentation based on support vector machines in English-Korean machine translation systems

Expert Systems with Applications: An International Journal

View-Invariant Pose Recognition Using Multilinear Analysis and the Universum

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II

Recognizing body poses using multilinear analysis and semi-supervised learning

Pattern Recognition Letters

Another look at statistical learning theory and regularization

Neural Networks

Empirical Study of the Universum SVM Learning for High-Dimensional Data

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Hybrid genetic algorithms are better for spatial clustering

PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence

Support vector regression for porosity prediction in a heterogeneous reservoir: A comparative study

Computers & Geosciences

Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study

IEEE Transactions on Evolutionary Computation

Modeling and detecting events for sensor networks

Information Fusion

Using differential evolution to optimize 'learning from signals' and enhance network security

Proceedings of the 13th annual conference on Genetic and evolutionary computation

A constructive algorithm to synthesize arbitrarily connected feedforward neural networks

Neurocomputing

Fractionated software for networked cyber-physical systems: research directions and long-term vision

Formal modeling

Support vector regression to predict porosity and permeability: Effect of sample size

Computers & Geosciences

Predictive learning, knowledge discovery and philosophy of science

WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence

On the optimization of multiclass support vector machines dedicated to speech recognition

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II

Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation

Computers in Biology and Medicine

An alternative approach to avoid overfitting for surrogate models

Proceedings of the Winter Simulation Conference

Fuzzy one-class classification model using contamination neighborhoods

Advances in Fuzzy Systems

A classification model based on incomplete information on features in the form of their average values

Scientific and Technical Information Processing

Uncovering the Hidden Issues in E-Government Adoption in a Least Developed Country: The Case of Bangladesh

Journal of Global Information Management

Robust novelty detection in the framework of a contamination neighbourhood

International Journal of Intelligent Information and Database Systems

Robust novelty detection in the framework of a contamination neighbourhood

International Journal of Intelligent Information and Database Systems

Recognizing Student Emotions using Brainwaves and Mouse Behavior Data

International Journal of Distance Education Technologies

Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines

Expert Systems with Applications: An International Journal

Online variational learning of generalized Dirichlet mixture models with feature selection

Neurocomputing

Generalization ability of fractional polynomial models

Neural Networks

Review and performance comparison of SVM- and ELM-based classifiers

Neurocomputing

Variational learning of finite Dirichlet mixture models using component splitting

Neurocomputing