Lungan Zhang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lungan Zhang trusts

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

  1. Kamal Nigam (in Natural Language Processing)
  2. Igor Kononenko (in Artificial Intelligence)
  3. Marko Robnik-Sikonja (in Artificial Intelligence)
  4. Andrew McCallum (in Natural Language Processing)
  5. Usama M. Fayyad (in Evaluation & Benchmarks)

Papers from Lungan Zhang's perspective

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

  1. A comparison of event models for naive bayes text classification
  2. Probabilistic reasoning in intelligent systems - networks of plausible inference
  3. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  4. Programs for Machine Learning
  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. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  8. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  9. A Language Modeling Approach to Information Retrieval
  10. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems

Their papers