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KBS
2002
141views more  KBS 2002»
15 years 2 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
116
Voted
AAAI
2010
15 years 3 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010
CVPR
2008
IEEE
16 years 4 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
114
Voted
SDM
2008
SIAM
114views Data Mining» more  SDM 2008»
15 years 3 months ago
Semi-Supervised Classification with Universum
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
96
Voted
ACSAC
2005
IEEE
15 years 8 months ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Steven Noel, Sushil Jajodia