Improving Text Classification by Shrinkage in a Hierarchy of Classes

Improving Text Classification by Shrinkage in a Hierarchy of Classes (1998)

by Andrew Mccallum , Ronald Rosenfeld , Tom Mitchell , Andrew Ng

Citations:

203 - 5 self

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Improving Text Classification by Shrinkage in a Hierarchy of Classes	user correction - Legacy Corrections
AUTHOR NAME	Andrew Mccallum	user correction - Legacy Corrections
AUTHOR AFFIL	y	user correction - Legacy Corrections
AUTHOR NAME	Ronald Rosenfeld	user correction - Legacy Corrections
AUTHOR NAME	Tom Mitchell	user correction - Legacy Corrections
AUTHOR NAME	Andrew Ng	user correction - Legacy Corrections
AUTHOR AFFIL	; z; Just Research; y; School of Computer Science; Carnegie Mellon University; MIT AI Lab	user correction - Legacy Corrections
AUTHOR ADDR	; 4616 Henry Street; Pittsburgh, PA 15213; Pittsburgh, PA 15213; 545 Tech Square; Cambridge, MA 02139	user correction - Legacy Corrections
ABSTRACT	When documents are organized in a large number of topic categories, the categories are often arranged in a hierarchy. The U.S. patent database and Yahoo are two examples.	user correction - Legacy Corrections
YEAR	1998	user correction - Legacy Corrections
CITATIONS	17 found	ParsCit 1.0