Lecture Notes in Computer Science, ‎0302-9743

Journal

  1. 2003
  2. Learning linear classifiers sensitive to example dependent and noisy costs

    Geibel, P., Brefeld, U. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2810, p. 167-178 12 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Support vector machines with example dependent costs

    Brefeld, U., Geibel, P. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2837, p. 23-34 12 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

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Publications

  1. Control of the inverse pendulum based on sliding mode and model predictive control
  2. Academic language features in mathematical modelling tasks raise difficulty in reading comprehension for secondary students
  3. Structure analysis in an octocopter using piezoelectric sensors and machine learning
  4. On the Appropriate Methodologies for Data Science Projects
  5. A Column Generation Approach for Bus Driver Rostering Problems
  6. Linear free vibrations with uncertain initial conditions
  7. Age effects on controlling tools with sensorimotor transformations
  8. Improved sensorimotor control is not connected with improved proprioception
  9. Neural network-based estimation and compensation of friction for enhanced deep drawing process control
  10. Machine Learning and Knowledge Discovery in Databases
  11. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  12. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  13. Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations
  14. Appendix A: Design, implementation, and analysis of the iGOES project
  15. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  16. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  17. Spaces for challenging experiences, indeterminacy, and experimentation
  18. Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
  19. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  20. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision
  21. Using qualitative and quantitative arguments in decision-making situations
  22. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  23. Advances in Dynamics, Optimization and Computation
  24. Using Language Learning Resources on YouTube
  25. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  26. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  27. Using augmented video to test in-car user experiences of context analog HUDs
  28. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  29. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  30. Teachers’ use of data from digital learning platforms for instructional design