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pro vyhledávání: '"Haimonti Dutta"'
Autor:
Haimonti Dutta
Publikováno v:
Management Science. 68:3703-3725
In the era of big data, an important weapon in a machine learning researcher’s arsenal is a scalable support vector machine (SVM) algorithm. Traditional algorithms for learning SVMs scale superlinearly with the training set size, which becomes infe
Publikováno v:
Discovery Science ISBN: 9783030889418
DS
DS
Storing large volumes of data on distributed devices has become commonplace in recent years. Applications involving sensors, for example, capture data in different modalities including image, video, audio, GPS and others. Novel distributed algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9159f51556c1d4e1db171a2fa6d9f51
https://doi.org/10.1007/978-3-030-88942-5_20
https://doi.org/10.1007/978-3-030-88942-5_20
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:023128
Despite the vast literature on network dynamics, we still lack basic insights into dynamics on higher-order structures (e.g., edges, triangles, and more generally, $k$-dimensional "simplices") and how they are influenced through higher-order interact
Autor:
Aayushee Gupta, Haimonti Dutta
Publikováno v:
Decision Support Systems. 152:113662
Text databases have grown tremendously in number, size, and volume over the last few decades. Optical Character Recognition (OCR) software is used to scan the text and make them available in online repositories. The OCR transcription process is often
Publikováno v:
Decision Support Systems. 113:11-21
Intergroup prejudice is a distorted opinion held by one social group about another, without examination of facts. It is heightened during crises or threat. It finds expression in social media platforms when a group of people express anger, resentment
Autor:
Haimonti Dutta, Ashwin Srinivasan
Publikováno v:
Machine Learning. 107:825-858
A particularly successful role for Inductive Logic Programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive model. Conceptually, the case for using ILP to construct relational features rests on trea
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 5:446-462
Popular Internet document repositories, such as online newspapers, digital libraries, and blogs store large amount of text and image data that are frequently accessed by large number of users. Users' input through collaborative commenting or tagging
Publikováno v:
CODS
Optical Character Recognition (OCR) is a commonly used technique for digitizing printed material enabling them to be displayed online, searched and used in text mining applications. The text generated from OCR devices is often garbled due to variatio
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 18:1028-1042
This paper introduces orthogonal decision trees that offer an effective way to construct a redundancy-free, accurate, and meaningful representation of large decision-tree-ensembles often created by popular techniques such as bagging, boosting, random
Autor:
Mani Srivastava, Haimonti Dutta, Oliver Parson, William J. Knottenbelt, John Kelly, Amarjeet Singh, Nipun Batra, Alex Rogers
Publikováno v:
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings.
In this demonstration, we present an open source toolkit for evaluating non-intrusive load monitoring research; a field which aims to disaggregate a household’s total electricity consumption into individual appliances. The toolkit contains: a numbe