Chaoqun Li

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoqun Li trusts overall

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

  1. Andrew McCallum
  2. Jay M. Ponte
  3. Marko Robnik-Sikonja
  4. Usama M. Fayyad
  5. A. Viera
  6. Jason D. M. Rennie

Papers from Chaoqun Li's perspective

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

  1. Probabilistic reasoning in intelligent systems - networks of plausible inference
  2. Programs for Machine Learning
  3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  4. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  5. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  6. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
  7. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  8. A Language Modeling Approach to Information Retrieval
  9. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
  10. Centroid-Based Document Classification: Analysis and Experimental Results (European Conference on Principles of Data Mining and Knowledge Discovery)

Their papers