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Top-down vs. bottom-up methods for hierarchical classification

Top-down vs. bottom-up methods for hierarchical classification

This video was recorded at Open House on Multi-Task and Complex Outputs Learning, London 2006. We deal with hierarchical classification in the general case when an instance could be associated with multiple and/or partial paths in a given taxonomy. We approach the problem from different perspectives: "top-down vs. bottom-up", but also "on-line vs. batch" and "theoretical vs. experimental". In this talk, we briefly present our recent research experience on this subject matter.

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