All Stories

  1. Basis exchange and learning algorithms for extracting collinear patterns
  2. Large Matrices Inversion Using the Basis Exchange Algorithm
  3. Dipolar Data Integration Through Univariate, Binary Classifiers
  4. Biclustering Based on Collinear Patterns
  5. Learning Algorithms Aimed at Collinear Patterns
  6. Decision Rules with Collinearity Models
  7. Linearizing layers of radial binary classifiers with movable centers
  8. Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions
  9. CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept
  10. Prognostic Modeling with High Dimensional and Censored Data
  11. K-Lines Clustering with Convex and Piecewise Linear (CPL) Functions
  12. Dipolar Designing Layers of Formal Neurons
  13. Linear Regression Modeling of Interval-censored Survival Times Based on a Convex Piecewise-linear Criterion Function
  14. Relaxed Linear Separability (RLS) Approach to Feature (Gene) Subset Selection
  15. Induction of Linear Separability through the Ranked Layers of Binary Classifiers
  16. Prognostic Models Based on Linear Separability
  17. Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions
  18. Ranked Modeling of Causal Sequences of Diseases for the Purpose of Early Diagnosis
  19. Ranked linear models and sequential patterns recognition
  20. Pattern Discovery Through Separable Data Projections
  21. Multichannel Data Aggregation by Layers of Formal Neurons
  22. Ranked Modelling with Feature Selection Based on the CPL Criterion Functions
  23. Selection of the Linearly Separable Feature Subsets
  24. Artificial Neural Networks in Identifying Areas with Homogeneous Survival Time
  25. Integration of Public Information at the Regional Level – Challenges and Opportunities
  26. Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations
  27. Evaluation of Dipolar Neural Networks in Survival Time Prediction
  28. Tuning of Diagnosis Support Rules through Visualizing Data Transformations
  29. Induction of Multivariate Decision Trees by Using Dipolar Criteria
  30. Ranked rules and data visualization
  31. Design of piecewise linear classifiers from formal neurons by a basis exchange technique
  32. Linear discrimination with symmetrical models
  33. Rules of forming receptive fields of formal neurons during unsupervised learning processes
  34. Linear Ranked Regression - Designing Principles
  35. CPL Clustering with Feature Costs