Search Results - "Dutta, Haimonti"

Balanced Hodge Laplacians optimize consensus dynamics over simplicial complexes by Ziegler, Cameron, Skardal, Per Sebastian, Dutta, Haimonti, Taylor, Dane

“…Despite the vast literature on network dynamics, we still lack basic insights into dynamics on higher-order structures (e.g., edges, triangles, and more…”
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A Consensus Algorithm for Linear Support Vector Machines by Dutta, Haimonti

“…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…”
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PNRank: Unsupervised ranking of person name entities from noisy OCR text by Dutta, Haimonti, Gupta, Aayushee

“…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…”
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Consensus-based modeling using distributed feature construction with ILP by Dutta, Haimonti, Srinivasan, Ashwin

“…A particularly successful role for Inductive Logic Programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive…”
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A system for intergroup prejudice detection: The case of microblogging under terrorist attacks by Dutta, Haimonti, Kwon, K. Hazel, Rao, H. Raghav

“…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…”
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Machine Learning for the New York City Power Grid by Rudin, C., Waltz, D., Anderson, R. N., Boulanger, A., Salleb-Aouissi, A., Chow, M., Dutta, H., Gross, P. N., Huang, B., Ierome, S., Isaac, D. F., Kressner, A., Passonneau, R. J., Radeva, A., Wu, L.

“…Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general…”
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A process for predicting manhole events in Manhattan by Rudin, Cynthia, Passonneau, Rebecca J., Radeva, Axinia, Dutta, Haimonti, Ierome, Steve, Isaac, Delfina

“…We present a knowledge discovery and data mining process developed as part of the Columbia/Con Edison project on manhole event prediction. This process can…”
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Machine Learning for theNew York City Power Grid by Rudin, Cynthia, Waltz, David, Anderson, Roger, Boulanger, Albert, Salleb-Aouissi, Ansaf, Chow, Maggie, Dutta, Haimonti, Gross, Philip, Huang, Bert, Ierome, Steve

“…Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general…”
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GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs by Dutta, Haimonti, Nataraj, Nitin

“…In the era of big data, an important weapon in a machine learning researcher's arsenal is a scalable Support Vector Machine (SVM) algorithm. SVMs are…”
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Consensus Based Multi-Layer Perceptrons for Edge Computing by Dutta, Haimonti, Nataraj, Nitin, Mahindre, Saurabh Amarnath

“…In recent years, storing large volumes of data on distributed devices has become commonplace. Applications involving sensors, for example, capture data in…”
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Peer-to-peer distributed text classifier learning in PADMINI by Zhu, Xianshu, Mahule, Tushar, Dutta, Haimonti, Arora, Sugandha, Kargupta, Hillol, Borne, Kirk

“…Popular Internet document repositories, such as online newspapers, digital libraries, and blogs store large amount of text and image data that are frequently…”
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Impact of Community Structure on Consensus Machine Learning by Huynh, Bao, Dutta, Haimonti, Taylor, Dane

“…Consensus dynamics support decentralized machine learning for data that is distributed across a cloud compute cluster or across the internet of things. In…”
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Orthogonal decision trees by Kargupta, K., Park, B.-H., Dutta, H.

“…This paper introduces orthogonal decision trees that offer an effective way to construct a redundancy-free, accurate, and meaningful representation of large…”
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Balanced Hodge Laplacians Optimize Consensus Dynamics over Simplicial Complexes by Ziegler, Cameron, Skardal, Per Sebastian, Dutta, Haimonti, Taylor, Dane

“…Despite the vast literature on network dynamics, we still lack basic insights into dynamics on higher-order structures (e.g., edges, triangles, and more…”
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INDiC: Improved Non-intrusive Load Monitoring Using Load Division and Calibration by Batra, Nipun, Dutta, Haimonti, Singh, Amarjeet

“…Residential buildings contribute significantly to the overall energy consumption across most parts of the world. While smart monitoring and control of…”
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Consensus-Based Modelling using Distributed Feature Construction by Dutta, Haimonti, Srinivasan, Ashwin

“…A particularly successful role for Inductive Logic Programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive…”
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Empowering scientific discovery by distributed data mining on the grid infrastructure by Dutta, Haimonti

“…The grid-based computing paradigm has attracted much attention in recent years. The sharing of distributed computing resources (such as software, hardware,…”
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A Machine Learning Approach to Quantitative Prosopography by Gupta, Aayushee, Dutta, Haimonti, Bedathur, Srikanta, Dey, Lipika

“…Prosopography is an investigation of the common characteristics of a group of people in history, by a collective study of their lives. It involves a study of…”
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Empowering scientific discovery by distributed data mining on the grid infrastructure by Dutta, Haimonti

“…The grid-based computing paradigm has attracted much attention in recent years. The sharing of distributed computing resources (such as software, hardware,…”
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Demo Abstract: NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets by Kelly, Jack, Batra, Nipun, Parson, Oliver, Dutta, Haimonti, Knottenbelt, William, Rogers, Alex, Singh, Amarjeet, Srivastava, Mani

“…In this demonstration, we present an open source toolkit for evaluating non-intrusive load monitoring research; a field which aims to disaggregate a…”
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