Maytal Saar-Tsechansky
Artificial Intelligence · 2007–2009
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 71 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #11,346 of 35,345 by trust here, #21,316 by citations
- Statistical Learning Theory — 6 citations into it
- Statistics and Probability — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Maytal Saar-Tsechansky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Jerome H. Friedman
- Leo Breiman
- Ron Kohavi
- Yuhai Wu
- Martin Bichler
- Nir Friedman
- Alexandru Niculescu-Mizil
- Eric Bauer
- Usama M. Fayyad
Who trusts Maytal Saar-Tsechansky overall
- Salvatore Ruggieri
- Timothy C. Au
- Attila Reiss
- Paul C. Tetlock
- Gerard Hoberg
- Christoph Göring
- Diego García
- Tim Loughran
- Emilio Carrizosa
- Thomas Renault
Papers from Maytal Saar-Tsechansky's perspective
Ordered by how strongly the researchers Maytal Saar-Tsechansky trusts endorse each paper. Same corpus, a different order for every researcher.
- C4.5: Programs for Machine Learning
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Bagging Predictors
- On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
- The Elements of Statistical Learning
- Information Theory: 1948-1998 - Guest Editorial
- The Nature of Statistical Learning Theory
- A theory of the learnable
- UCI Repository of machine learning databases
- Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Their papers
- More than Words: Quantifying Language to Measure Firms' Fundamentals (2008) — 2,183 citations
- Active Feature-Value Acquisition (2009) — 142 citations
- Handling Missing Values when Applying Classification Models (2007) — 388 citations