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Traditionally, the algorithm of ID3 takes the information gain as a standard of expanding attributes. During the process of selection of expanded attributes, attributes with more values are usually preferred to be selected. To solve such problem, a kind of AED algorithm based on average Euclidean distance in decision tree is proposed in this paper. The algorithm uses the average Euclidean distance...
Paraphrase recognition is the basic of paraphrase researches. However, most of the existing researches mainly focus on the acquirement of paraphrases from a certain text corpus, or their methods are restricted to certain conditions. There is not a method that can decide whether two sentences are paraphrases generally. This paper presents a combination of rule and supervised learning method to recognize...
A critical challenge to create effective agent-based systems is allowing them to operate effectively when the design environment is complex, dynamic, and error-prone. Much research has been made on multi-agent system (MAS) in CSCD field, especially on conflict handling, which is not yet well-addressed due to its sophistication. Conflict resolution plays a central role in collaborative design. In this...
Decision tree is a good model of Classification. Recently, there has been much interest in mining streaming data. Because streaming data is large and no limited, it is unpractical that passing the entire data over more than one time. A one pass online algorithm is necessary. One of the most successful algorithms for mining data streams is VFDT(Very Fast Decision Tree).we extend the VFDT system to...
Domain-specific term extraction contributes to all domain-oriented natural language processing tasks. Given a small set of domain-specific terms as seed terms, new terms from unlabeled corpora can be extracted by bootstrapping a term classifier to discover the association between seed terms and new terms. Traditional term representation method for domain-specific term extraction represents a term...
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