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IBPRIA
2005
Springer
14 years 5 days ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
CSFW
2004
IEEE
13 years 10 months ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
PR
2008
151views more  PR 2008»
13 years 6 months ago
Constraint Score: A new filter method for feature selection with pairwise constraints
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ALT
2004
Springer
14 years 3 months ago
Learning Languages from Positive Data and Negative Counterexamples
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
Sanjay Jain, Efim B. Kinber
AISS
2010
114views more  AISS 2010»
13 years 4 months ago
Context Awareness Information Sharing Service based on Location-based Communication Policy
Since more networking technologies and communication channels have been developed, Internet users have moved their roles from being strictly information consumers to both informat...
Yih-Jiun Lee