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» The Feature Importance Ranking Measure
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ML
2010
ACM
141views Machine Learning» more  ML 2010»
14 years 8 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
WSCG
2004
145views more  WSCG 2004»
14 years 11 months ago
Efficient and Feature-Preserving Triangular Mesh Decimation
Most of the existing algorithms for decimation of triangular meshes perform poorly at very low levels of detail. We propose a new automatic method for the decimation of triangular...
Muhammad Hussain, Yoshihiro Okada, Koichi Niijima
DASFAA
2007
IEEE
139views Database» more  DASFAA 2007»
15 years 4 months ago
Self-tuning in Graph-Based Reference Disambiguation
Nowadays many data mining/analysis applications use the graph analysis techniques for decision making. Many of these techniques are based on the importance of relationships among t...
Rabia Nuray-Turan, Dmitri V. Kalashnikov, Sharad M...
IPM
2007
99views more  IPM 2007»
14 years 9 months ago
Percent perfect performance (PPP)
An information retrieval performance measure that is interpreted as the percent of perfect performance (PPP) can be used to study the effects of the inclusion of specific documen...
Robert M. Losee
NIPS
2004
14 years 11 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri