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Recurrent Latent Variable Networks for Session-Based Recommendation
In this work, we attempt to ameliorate the impact of data sparsity in the context of session-based recommendation.
Feature Subset Selection for Software Cost Modelling and Estimation
Feature selection has been recently used in the area of software engineering for improving the accuracy and robustness of software cost models.
Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection
Software cost estimation is one of the prerequisite managerial activities carried out at the software development initiation stages and also repeated throughout the whole software life-cycle so that amendments to the total cost are made.
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