Sequential classification on partially ordered sets

By Curtis Tatsuoka, Thomas S. Ferguson. 2003

70 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ace17c1b5d1659ccd22698246377b3a653993306

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

1. Curtis Tatsuoka
2. Jimmy de la Torre
3. J. Douglas
4. Jonathan Templin
5. Thomas S. Ferguson

In Statistics and Probability

1. Curtis Tatsuoka
2. Jimmy de la Torre
3. J. Douglas
4. Jonathan Templin
5. Thomas S. Ferguson

Citations in the corpus

• Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021, unknown): “See Cheng (2009), Liu et al. (2015), Tatsuoka and Ferguson (2003), and Xu et al. (2003).”
• Data analytic methods for latent partially ordered classification models (2002, background): “This rule focuses only on the elements in πn that subsequently have the potential to become the largest in πn+1 (see Tatsuoka and Ferguson (1999)).”