Algorithm Capability

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An Algorithm Capability is a capability of an algorithm.



References

2009

  • (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
    • Another characteristic of our method is its capability for considering multiple classes and their interactions simultaneously.

2006

  • (Brohée & van Helden, 2006) ⇒ Sylvain Brohée and Jacques van Helden. (2006). “Evaluation of clustering algorithms for protein-protein interaction networks.” In: BMC bioinformatics.
    • In this paper we present a systematic quantitative evaluation of the capability of four clustering methods for inferring protein complexes from a network of pairwise protein interactions.
    • Note that this removal experiment is not very indicative of algorithm capability under realistic conditions, because the partitioning of the test graph corresponds almost with complex composition
    • The next step was to evaluate the capability of these algorithms to extract relevant information from high-throughput data sets.
    • This reflects the fact that this algorithm has the capability to discard nodes from the clustering result (unassigned nodes).

2000