Sciweavers

977 search results - page 107 / 196
» An Algebraic Approach to Data Mining: Some Examples
Sort
View
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
16 years 5 days ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
15 years 11 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
16 years 6 months ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 6 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...