21 citations · 40 across the 3 of their papers we have counts for
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cs.LG2012★ 14 cited
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai Shalev Shwartz
We theoretically analyze and compare the following five popular multiclass classification methods: One vs. All, All Pairs, Tree-based classifiers, Error Correcting Output Codes (EC…
cs.LG2012★ 21 cited
Clustering is difficult only when it does not matter
Amit Daniely, Nati Linial, Michael Saks
Numerous papers ask how difficult it is to cluster data. We suggest that the more relevant and interesting question is how difficult it is to cluster data sets {\em that can be clu…