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» Classification of integral lattices with large class number
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AIR
2006
152views more  AIR 2006»
13 years 7 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
CVIU
2007
113views more  CVIU 2007»
13 years 7 months ago
Primal sketch: Integrating structure and texture
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
CVPR
2009
IEEE
15 years 2 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
WFLP
2009
Springer
277views Algorithms» more  WFLP 2009»
14 years 1 months ago
Termination of Context-Sensitive Rewriting with Built-In Numbers and Collection Data Structures
Context-sensitive rewriting is a restriction of rewriting that can be used to elegantly model declarative specification and programming languages such as Maude. Furthermore, it ca...
Stephan Falke, Deepak Kapur