ITAT 2012
Information Technologies - Applications and Theory

Table of Contents

• Preface
  
  

• Machine learning applications in bioinformatics 1-2
  Jiří Kléma
• RBF-based surrogate model for evolutionary optimization 3-8
  Lukáš Bajer, Martin Holeňa
• Effective Datalog-like representation of procedural programs 9-16
  David Bednárek
• Conformal sets in neural network regression 17-24
  Radim Demut, Martin Holeňa
• Fuzzy classification rules based on similarity 25-33
  Martin Holeňa, David Štefka
• Evolutionary optimization with active learning of surrogate models and fixed evaluation batch 34-40
  Viktor Charypar, Martin Holeňa
• Aligning sequences with repetitive motifs 41-48
  Peter Kováč, Broňa Brejová, Tomáš Vinař
• Surrogate solutions of Fredholm equations by feedforward networks 49-54
  Věra Kůrková
• Localization of (in)consistencies by monotone reducing automata 55-62
  Martin Procházka, Martin Plátek