List of Tables

1. Collection statistics for a large collection.
2. Dictionary compression for Reuters-RCV1.
3. Two gap sequences to be merged in blocked sort-based indexing.
4. Cosine computation for Exercise 6.4.4 .
5. Calculating the kappa statistic.
6. INEX 2002 collection statistics.
7. INEX 2002 results of the vector space model in Section 10.3 for content-and-structure (CAS) queries and the quantization function Q.
8. A comparison of content-only and full-structure search in INEX 2003/2004.
9. Data for parameter estimation examples.
10. Training and test times for Naive Bayes.
11. Multinomial versus Bernoulli model.
12. Correct estimation implies accurate prediction, but accurate prediction does not imply correct estimation.
13. A set of documents for which the Naive Bayes independence assumptions are problematic.
14. The ten largest classes in the Reuters-21578 collection with number of documents in training and test sets.
15. Data for parameter estimation exercise.
16. Vectors and class centroids for the data in Table 13.1 .
17. Training examples for machine-learned scoring.
18. Some applications of clustering in information retrieval.
19. The four external evaluation measures applied to the clustering in Figure 16.4 .
20. Comparison of HAC algorithms.