M. Sakai

2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. Sakai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. M. G. Schaap
  2. F. Leij
  3. Navin Twarakavi

Papers from M. Sakai's perspective

Ordered by how strongly the researchers M. Sakai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Improved Prediction of Unsaturated Hydraulic Conductivity with the Mualem‐van Genuchten Model
  2. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
  3. Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines
  4. Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics
  5. Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties
  6. The elements of statistical learning: data mining, inference and prediction
  7. Monographs on statistics and applied probability
  8. Bayesian Interpolation
  9. Some methods for classification and analysis of multivariate observations
  10. Model Induction with Support Vector Machines: Introduction and Applications

Their papers