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      Similarity Learning in Nearest Neighbor and Application to Information Retrieval

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      Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009) (FDIA)

      Computers XXIII Celebrating People and Technology

      1 September 2009

      Similarity learning, kNN, Information Retrieval, Machine Learning

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          Abstract

          Many people have tried to learn Mahanalobis distance metric in kNN classification by considering the geometry of the space containing examples. However, similarity may have an edge specially while dealing with text e.g. Information Retrieval.We have proposed an online algorithm, SiLA (Similarity learning algorithm) where the aim is to learn a similarity metric (e.g. cosine measure, Dice and Jaccard coefficients) and its variation eSiLA where we project the matrix learnt onto the cone of positive, semidefinite matrices. Two incremental algorithms have been developed; one based on standard kNN rule while the other one is its symmetric version. SiLA can be used in Information Retrievalwhere the performance can be improved by using user feedback.

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          Discriminative training methods for hidden Markov models

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            Online and batch learning of pseudo-metrics

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              Author and article information

              Contributors
              Conference
              September 2009
              September 2009
              : 131-133
              Affiliations
              LIG (Laboratoire d’Informatique de Grenoble)

              Université Joseph Fourier
              Article
              10.14236/ewic/FDIA2009.22
              © Ali Mustafa Qamar. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

              This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

              Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)
              FDIA
              3
              Padua, Italy
              1 September 2009
              Electronic Workshops in Computing (eWiC)
              Computers XXIII Celebrating People and Technology
              Product
              Product Information: 1477-9358BCS Learning & Development
              Self URI (journal page): https://ewic.bcs.org/
              Categories
              Electronic Workshops in Computing

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