Documentos de R. S. Milton | REDI

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Mostrando 10 resultados de: 10

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Área temáticas: "Ciencias de la computación"

Subtipo de publicación

Conference Object(6)

Publisher

2014 IEEE International Conference on Computational Intelligence and Computing Research, IEEE ICCIC 2014(1)

Comptes Rendus de L'Academie Bulgare des Sciences(1)

ICCIDS 2019 - 2nd International Conference on Computational Intelligence in Data Science, Proceedings(1)

Intelligent Data Analysis(1)

International Conference on Recent Trends in Information Technology, ICRTIT 2011(1)

Área temáticas

Economía de la tierra y la energía(1)

Funcionamiento de bibliotecas y archivos(1)

Física aplicada(1)

Instrumentos de precisión y otros dispositivos(1)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Ciencias de la computación(6)

Aprendizaje automático(4)

Inteligencia artificial(2)

Energía renovable(1)

Año de Publicación

Origen

Palabras Claves

reinforcement learning(3)

Diagrammatic reasoning in program construction

Conference Object

Abstract: Correctness is proved formally using pbkp_redicate logic, which requires certain mathematical maturi

Palabras claves:

Diagrammatic Reasoning, Formal Methods, Invariant Based Programming, Program Correctness

R. S. Milton, Ragendhu S.

Contextual emotion detection on text using gaussian process and tree based classifiers

Abstract: It is challenging for machine as well as humans to detect the presence of emotions such as sadness o

Palabras claves:

Decision Trees, Emotion recognition, gaussian processes, gradient methods, Machine learning

Deborah S.A., R. S. Milton, Sivanaiah R., Tt M.

Multi Agent System based automated demand side management of a micro-grid

Abstract: The objective of this paper is to develop a Multi Agent System (MAS) for automated demand response f

Palabras claves:

Automation, demand side management, energy management, JADE, Micro-grid, Multi agent system

R. S. Milton, Rajkumar I., Raju L.

Multi agent reinforcement learning based distributed optimization of solar microgrid

Conference Object

Abstract: We consider grid connected solar microgrid system which contains a local consumers, solar photo volt

Palabras claves:

Battery scheduling, CQ Learning, Distributed Optimization, Q-Learning, reinforcement learning, Solar microgrid

Kaviya A., R. S. Milton, Raju L.

Multiagent Systems Based Modeling and Implementation of Dynamic Energy Management of Smart Microgrid Using MACSimJX

Abstract: The objective of this paper is implementation of multiagent system (MAS) for the advanced distribute

Palabras claves:

Mahadevan S., R. S. Milton, Raju L.

Improving transmission control protocol in heterogeneous networks by loss classification

Abstract: Today in this pervasive world, anything can be connected with anything through networking. Wireless

Palabras claves:

Log westwood+, Loss, Performance improvement, TCP

Palanisamy N., R. S. Milton, Veluswami J.R.S.

Reinforcement learning approach to improve transmission control protocol

Conference Object

Abstract: Transmission Control Protocol(TCP) plays an important role in everyday life, right from accessing on

Palabras claves:

AIMD, congestion control, POMDP, Q-Learning, reinforcement learning, TCP

Jansi Rani S.V., R. S. Milton, Shivaani K., Yamini L.

Reinforcement learning in adaptive control of power system generation

Conference Object

Abstract: Considering our depleting resources, efficient energy production and transmission is the need of the

Palabras claves:

economic dispatch, Optimization, Q learning, reinforcement learning, unit commitment

R. S. Milton, Raju L., Sankar S., Suresh S.

SSN-SPARKS at SemEval-2019 task 9: Mining suggestions from online reviews using deep learning techniques on augmented data

Conference Object

Abstract: This paper describes the work on mining the suggestions from online reviews and forums. Opinion mini

Palabras claves:

Deborah S.A., Mirnalinee T.T., R. S. Milton, Sivanaiah R.

TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings

Conference Object

Abstract: This paper describes the system used for detecting humor in text. The system developed by the team T

Palabras claves:

Deborah A.S., Gupta A., Mirnalinee T.T., Nanda A., R. S. Milton, Singh A.P., Sivanaiah R.