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» Learning Classifiers from Semantically Heterogeneous Data
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KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 9 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
AI
2006
Springer
14 years 17 days ago
Language Patterns in the Learning of Strategies from Negotiation Texts
The paper shows how to construct language patterns that signal influence strategies and tactical moves corresponding to such strategies. We apply corpus analysis methods to the ext...
Marina Sokolova, Stan Szpakowicz
ICANN
2003
Springer
14 years 2 months ago
An Adaptable Gaussian Neuro-Fuzzy Classifier
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
DEXAW
2004
IEEE
167views Database» more  DEXAW 2004»
14 years 16 days ago
BioMap: Gene Family based Integration of Heterogeneous Biological Databases Using AutoMed Metadata
This paper presents an extensible architecture that can be used to support the integration of biological data sets. Biological research frequently requires this kind of synthesis....
Michael Maibaum, Galia Rimon, Christine A. Orengo,...
NIPS
2004
13 years 10 months ago
Machine Learning Applied to Perception: Decision Images for Gender Classification
We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simo...