361 search results - page 18 / 73 » Rank Aggregation Based Text Feature Selection |
ICDM
2008
IEEE
14 years 5 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
PRIS
2004
14 years 8 days ago
2004
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
SIGIR
1998
ACM
14 years 3 months ago
1998
ACM
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
AAAI
2008
14 years 1 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
ICPR
2006
IEEE
15 years 8 hour ago
2006
IEEE
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...