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Journals in DBLP
- Vladislav Tadic
Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes. [Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:63, n:2, pp:107-133 [Journal]
- Helge Langseth, Thomas D. Nielsen
Classification using Hierarchical Naïve Bayes models. [Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:63, n:2, pp:135-159 [Journal]
- Rosa I. Arriaga, Santosh Vempala
An algorithmic theory of learning: Robust concepts and random projection. [Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:63, n:2, pp:161-182 [Journal]
- Michael Rimer, Tony Martinez
Classification-based objective functions. [Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:63, n:2, pp:183-205 [Journal]
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