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NIPS
2008
13 years 11 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
AAAI
2004
13 years 11 months ago
SAT-Based Answer Set Programming
The relation between answer set programming (ASP) and propositional satisfiability (SAT) is at the center of many research papers, partly because of the tremendous performance boo...
Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
CSREAEEE
2006
120views Business» more  CSREAEEE 2006»
13 years 11 months ago
When Most Quickly Developing Technique Meets with Most Quickly Developing Country: Towards Understanding Internet in China
- To a large extent, governments and organizations worldwide have recognized that either the broader information communication technologies (ICTs) sector or specifically with respe...
Yun Tang, Lifeng Sun, Hai Qin, Shiqiang Yang, Yuzh...
FIMI
2004
175views Data Mining» more  FIMI 2004»
13 years 11 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
EUROPLOP
2006
13 years 11 months ago
Supporting the Selection of Design Patterns by Formal Definition and Considering Semantics
Extensibility and maintainability of software becomes more an issue as the complexity of the software development process rises. Design patterns in the sense of Gamma et al. [3] a...
Klaus Meffert