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» Temporal Data Classification Using Linear Classifiers
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117
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ICONIP
2004
15 years 5 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
104
Voted
ICPR
2008
IEEE
15 years 10 months ago
Locality preserving multi-nominal logistic regression
In this paper, we propose a novel algorithm of multi-nominal logistic regression in which the locality regularization term is introduced. The locality is defined by the neighborho...
Kenji Watanabe, Takio Kurita
128
Voted
DIS
2006
Springer
15 years 7 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
147
Voted
IRI
2005
IEEE
15 years 9 months ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...
128
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FATES
2004
Springer
15 years 9 months ago
Using Model Checking for Reducing the Cost of Test Generation
This paper presents a method for reducing the cost of test generation. A spanning set for a coverage criterion is a set of entities such that exercising every entity in the spannin...
Hyoung Seok Hong, Hasan Ural