Lecture Notes in Computer Science, ‎0302-9743

Fachzeitschrift: Zeitschrift

  1. 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, S. 167-178 12 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  2. Support vector machines with example dependent costs

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

    Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

Zuletzt angesehen

Publikationen

  1. A tutorial introduction to adaptive fractal analysis
  2. Template-based Question Answering using Recursive Neural Networks
  3. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  4. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  5. lp-Norm Multiple Kernel Learning
  6. Design optimization of spiral coils for textile applications by genetic algorithm
  7. Exact and approximate inference for annotating graphs with structural SVMs
  8. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  9. Recurrence Quantification Analysis of Processes and Products of Discourse
  10. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  11. Construct Objectification and De-Objectification in Organization Theory
  12. Computational modeling of amorphous polymers
  13. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  14. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  15. Simple saturated PID control for fast transient of motion systems
  16. Dynamic Lot Size Optimization with Reinforcement Learning
  17. The delay vector variance method and the recurrence quantification analysis of energy markets
  18. Introducing parametric uncertainty into a nonlinear friction model
  19. Faulty Process Detection Using Machine Learning Techniques
  20. TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
  21. Clause identification using entropy guided transformation learning
  22. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  23. Dispatching rule selection with Gaussian processes
  24. Constraints are the solution, not the problem
  25. Dynamic priority based dispatching of AGVs in flexible job shops
  26. Mining positional data streams
  27. Understanding the properties of isospectral points and pairs in graphs
  28. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  29. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  30. Computing regression statistics from grouped data
  31. From Knowledge to Application
  32. Gaussian processes for dispatching rule selection in production scheduling