Olivia R. Liu Sheng

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Signal Processing — 5 citations into it

Whom Olivia R. Liu Sheng trusts overall

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

1. J. Ross Quinlan
2. Sudipto Guha
3. Geoff Hulten
4. Pedro M. Domingos
5. Richard S. Sutton
6. Jeffrey C. Schlimmer
7. Nicholas I. Fisher
8. Gurmeet Singh Manku
9. Rajeev Motwani
10. Tian Zhang

Papers from Olivia R. Liu Sheng's perspective

Ordered by how strongly the researchers Olivia R. Liu Sheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Clustering data streams (Proceedings 41st Annual Symposium on Foundations of Computer Science)
3. UCI Repository of machine learning databases
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Induction of decision trees
6. Probability Inequalities for Sums of Bounded Random Variables
7. Mining high-speed data streams
8. Mining time-changing data streams
9. Clustering Data Streams: Theory and Practice
10. Approximate Frequency Counts over Data Streams (Very Large Data Bases Conference)

Their papers

• When Is the Right Time to Refresh Knowledge Discovered from Data? (2013) — 30 citations