◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

David Mease

2 papers hereh-index 101.1k citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedExplaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

61 citations · 74 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2015★ 61 cited

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

Abraham J. Wyner, Matthew Olson, Justin Bleich +1

There is a large literature explaining why AdaBoost is a successful classifier. The literature on AdaBoost focuses on classifier margins and boosting's interpretation as the optimi…

stat.ME2008★ 13 cited

Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting

Andreas Buja, David Mease, Abraham J. Wyner

The authors are doing the readers of Statistical Science a true service with a well-written and up-to-date overview of boosting that originated with the seminal algorithms of Freun…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.