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Learning to rank with (a lot of) word features
Information Retrieval, 2009In this article we present Supervised Semantic Indexing which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word content in a query-document or document-document pair to a ranking score. Like Latent Semantic Indexing (LSI), our models take account of correlations between words (synonymy ...
Bing Bai +7 more
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2011
This chapter introduces a feature-based retrieval model based on Markov random fields (MRF model), which serves as the primary retrieval model throughout the remainder of the book. Although there are many different ways to formulate a general feature-based model for information retrieval, this work focuses on the MRF model because it satisfies the ...
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This chapter introduces a feature-based retrieval model based on Markov random fields (MRF model), which serves as the primary retrieval model throughout the remainder of the book. Although there are many different ways to formulate a general feature-based model for information retrieval, this work focuses on the MRF model because it satisfies the ...
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USING STATISTICAL MEASURES FOR FEATURE RANKING
International Journal of Pattern Recognition and Artificial Intelligence, 2013Feature ranking is a fundamental preprocess for feature selection, before performing any data mining task. Essentially, when there are too many features in the problem, dimensionality reduction through discarding weak features is highly desirable. In this paper, we have developed an efficient feature ranking algorithm for selecting the more relevant ...
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Fusion in multi-criterion feature ranking
2007 10th International Conference on Information Fusion, 2007Feature ranking, due to its simplicity and computational efficiency, is a widely used dimensionality reduction technique, especially for large dataset where other methods are computationally too expensive. Conventionally feature ranking is done based on a single ranking criterion.
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Feature Ranking for Feature Sorting and Feature Selection with Optimisation
2023Paola Santana-Morales +6 more
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Biomarker Discovery by Feature Ranking: Evaluation on a Case Study of Embryonal Tumors
Computers in Biology and Medicine, 2021Matej Petković +2 more
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K-Best Feature Selection and Ranking via Stochastic Approximation
Expert Systems With Applications, 2023Milad Malekipirbazari +2 more
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Consensus Unsupervised Feature Ranking From Multiple Views
Pattern Recognition Letters, 2008Sam Kwong, Yi Hong, Qingsheng Ren
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Euclidean Distance Based Feature Ranking and Subset Selection for Bearing Fault Diagnosis
Expert Systems With Applications, 2020Prashant Tiwari
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