1. Evaluation and Selection of Biases in Machine Learning

   • Diana F. Gordon
   • Marie Desjardins

   OriginalPaper Pages: 5 - 22

2. Evaluation and selection of biases in machine learning

   • Diana F. Gordon
   • Marie Desjardins

   OriginalPaper Pages: 5 - 22

3. Technical Note: Bias and the Quantification of Stability

   • Peter Turney

   OriginalPaper Pages: 23 - 33

4. Technical note: Bias and the quantification of stability

   • Peter Turney

   OriginalPaper Pages: 23 - 33

5. Inductive Policy: The Pragmatics of Bias Selection

   • Foster John Provost
   • Bruce G. Buchanan

   OriginalPaper Pages: 35 - 61

6. Inductive policy: The pragmatics of bias selection

   • Foster John Provost
   • Bruce G. Buchanan

   OriginalPaper Pages: 35 - 61

7. Recursive Automatic Bias Selection for Classifier Construction

   • Carla E. Brodley

   OriginalPaper Pages: 63 - 94

8. Recursive automatic bias selection for classifier construction

   • Carla E. Brodley

   OriginalPaper Pages: 63 - 94

9. The Appropriateness of Predicate Invention as Bias Shift Operation in ILP

   • Irene Stahl

   OriginalPaper Pages: 95 - 117

10. The appropriateness of predicate invention as bias shift operation in ILP

    • Irene Stahl

    OriginalPaper Pages: 95 - 117

11. Declarative bias for specific-to-general ILP systems

    • Hilde Adé
    • Luc de Raedt
    • Maurice Bruynooghe

    OriginalPaper Pages: 119 - 154

12. Declarative Bias for Specific-to-General ILP Systems

    • Hilde Adé
    • Luc de Raedt
    • Maurice Bruynooghe

    OriginalPaper Pages: 119 - 154

13. Shifting Vocabulary Bias in Speedup Learning

    • Devika Subramanian

    OriginalPaper Pages: 155 - 191

14. Shifting vocabulary bias in speedup learning

    • Devika Subramanian

    OriginalPaper Pages: 155 - 191