Tom Borchert

Artificial Intelligence · 2019

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

Subfields

Whom Tom Borchert trusts overall

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

  1. Philippe Flajolet
  2. Ryan P. Adams
  3. Ted Dunning
  4. Samaneh Aminikhanghahi
  5. Stefan Heule
  6. Nisheeth Shrivastava

Papers from Tom Borchert's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. A Survey on Transfer Learning
  4. Dataset Shift in Machine Learning
  5. Loglog counting of large cardinalities
  6. Lifelong Machine Learning Systems: Beyond Learning Algorithms
  7. Medians and beyond: new aggregation techniques for sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  8. Bayesian Online Changepoint Detection
  9. Efficient and Robust Automated Machine Learning
  10. HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm

Their papers