Browsing Journal Articles by Subject "Machine learning"

Now showing items 1-7 of 7

    • A gradient-based bilevel optimization approach for tuning regularization hyperparameters 

      Sinha, Ankur; Khandait, Tanmay; Mohanty, Raja (Springer, 2023-09-29)
      Hyperparameter tuning in the area of machine learning is often achieved using naive techniques, such as random search and grid search. However, most of these methods seldom lead to an optimal set of hyperparameters and ...

    • Learning of a decision-maker’s preference zone with an evolutionary approach 

      Aggarwal, Manish (IEEE, 2018-05-30)
      A new evolutionary-learning algorithm is proposed to learn a decision maker (DM)’s best solution on a conflicting multiobjective space. Given the exemplary pairwise comparisons of solutions by a DM, we learn an ideal point ...

    • Linguistic features for review helpfulness prediction 

      Krishnamoorthy, Srikumar (Elsevier, 2015)
      Online reviews play a critical role in customer’s purchase decision making process on the web. The reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper ...

    • A machine learning approach to solve the e-commerce box-sizing problem 

      Shanthan, Kandula; Roy, Debjit; Akartunalı, Kerem (Sage Journals, 2024-09-01)
      E-commerce packages are notorious for their inefficient usage of space. More than one-quarter volume of a typical e-commerce package comprises air and filler material. The inefficient usage of space significantly reduces ...

    • A prescriptive analytics framework for efficient E-commerce order delivery 

      Kandula, Shanthan; Krishnamoorthy, Srikumar; Roy, Debjit (Elsevier, 2021-04-30)
      Achieving timely last-mile order delivery is often the most challenging part of an e-commerce order fulfillment. Effective management of last-mile operations can result in significant cost savings and lead to increased ...

    • Sentiment analysis of financial news articles using performance indicators 

      Krishnamoorthy, Srikumar (Springer, 2017-11-24)
      Mining financial text documents and understanding the sentiments of individualinvestors, institutions and markets is an important and challenging problem in the literature.Current approaches to mine sentiments from financial ...

    • Sparsistent filtering of comovement networks from high-dimensional data 

      Chakrabarti, Arnab; Chakrabarti, Anindya S. (Elsevier, 2022-11-09)
      Network filtering is a technique to isolate core subnetworks of large and complex interconnected systems, which has recently found many applications in financial, biological, physical and technological networks among others. ...