: Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing.
: Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.
, Lai-Wan Chan
: Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA.
: Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding.
: Expectation-MiniMax Approach to Clustering Analysis.
Ivan Nunes da Silva
: Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization.
Statistical Data Analysis
: Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory.
: How to Do Multi-way Classification with Two-Way Classifiers.
: Closed Loop Stability of FIR-Recurrent Neural Networks.
: A Relaxation Algorithm Influenced by Self-Organizing Maps.
Intelligent and Hybrid Systems
: Option Pricing with the Product Constrained Hybrid Neural Network.
, Yavuz Cengiz
: Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms.
, Stefan Wermter
: Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances.
: Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data.
Semantic and Context Aware Intelligent Systems
Complex-Valued Neural Networks: Theories and Applications
, Akira Hirose
: Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier Synthesis.
: The Behavior of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons.
: The Computational Power of Complex-Valued Neuron.
Computational Intelligence and Applications
, Stelios Bakamidis
, Theologos Athanaselis
, Ioannis Dologlou
, George Carayannis
, Roddy Cowie
, Ellen Douglas-Cowie
, Nickolaos F. Fragopanagos
, John G. Taylor
: Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis.
, Sung-Bae Cho
: Neural Network Ensemble with Negatively Correlated Features for Cancer Classification.
Neural Networks for Bio-informatics Applications