185 citations · 945 across the 83 of their papers we have counts for
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stat.ML2010★ 13 cited
Regularization Strategies and Empirical Bayesian Learning for MKL
Ryota Tomioka, Taiji Suzuki
Multiple kernel learning (MKL), structured sparsity, and multi-task learning have recently received considerable attention. In this paper, we show how different MKL algorithms can…
stat.ML2010★ 27 cited
Sparsity-accuracy trade-off in MKL
Ryota Tomioka, Taiji Suzuki
We empirically investigate the best trade-off between sparse and uniformly-weighted multiple kernel learning (MKL) using the elastic-net regularization on real and simulated datase…