Complexity measures and decision tree complexity: a survey
By Harry Buhrman, Ronald de Wolf. Theoretical Computer Science, 2002
684 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/f69873573f876bafb7315f3e578b6b197b7b9ab5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- H. Duminil-Copin
- Ryan O'Donnell
- Rocco A. Servedio
- Andris Ambainis
- David F. Manlove
- Miklos Santha
- Andrew M. Childs
- Salvador Elías Venegas-Andraca
In Computational Theory and Mathematics
- Rocco A. Servedio
- H. Duminil-Copin
- Ryan O'Donnell
- Andris Ambainis
- David F. Manlove
- Miklos Santha
- Andrew M. Childs
- Salvador Elías Venegas-Andraca
Citations in the corpus
- Algorithmics of Matching Under Preferences (2013, background): “This question was answered in the negative by Dougherty and Selkow [170], who proved that the certificate complexity [114] of determining whether a given matching is stable in an sm instance of size n is Ω(n(2)).”
- Quantum walk algorithm for element distinctness (2003, methodology): “Our model is the quantum query model (for surveys on query mod el, see [7, 18]).”
- Sharp phase transition for the random-cluster and Potts models via decision trees (2017, background): “The theory of (random) decision trees played a key role in computer science (we refer the reader to the survey [BDW02]), but also found many applications in other fields of mathematics.”
- New degree bounds for polynomial threshold functions (2003, background): “degree for an approximating polynomial (see Theorem 18 of [ 8 ]), their results imply an O(s1/2 logd−1(s)) upper bound on the degree of the formulas that they consider.”