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Kevin R. Moon

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Papers (12)

  1. Revisiting Forest Proximities via Sparse Leaf-Incidence Kernels cs.LG · 2026 · author #3
  2. Convergence Rates for Empirical Estimation of Binary Classification Bounds cs.IT · 2018 · author #3
  3. Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors cs.IT · 2017 · author #1
  4. Direct Estimation of Information Divergence Using Nearest Neighbor Ratios cs.IT · 2017 · author #2
  5. Information Theoretic Structure Learning with Confidence cs.IT · 2016 · author #1
  6. The intrinsic value of HFO features as a biomarker of epileptic activity q-bio.NC · 2015 · author #2
  7. Meta learning of bounds on the Bayes classifier error cs.LG · 2015 · author #1
  8. Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization astro-ph.SR · 2015 · author #1
  9. Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis astro-ph.SR · 2015 · author #1
  10. Multivariate f-Divergence Estimation With Confidence cs.IT · 2014 · author #1
  11. Image patch analysis and clustering of sunspots: a dimensionality reduction approach cs.CV · 2014 · author #1
  12. Ensemble estimation of multivariate f-divergence cs.IT · 2014 · author #1

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