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Article
A hierarchical approach for efficient multi-intent dialogue policy learning
This paper proposes a hierarchical method for learning an efficient Dialogue Management (DM) strategy for task-oriented conversations serving multiple intents of a domain. Deep Reinforcement Learning (DRL) net...
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Article
Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework
Dialogue act classification (DAC) gives a significant insight into understanding the communicative intention of the user. Numerous machine learning (ML) and deep learning (DL) approaches have been proposed ove...
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Article
Smart Diagnosis of Incipient Faults Using Dissolved Gas Analysis-Based Fault Interpretation Matrix (FIM)
An intelligent transformer fault diagnostic model is the urgent need of reliable power system. To achieve this goal, a diagnostic system using a dissolved gas analysis (DGA)-based fault interpretation matrix (...
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Chapter and Conference Paper
Reinforcement Learning Based Dialogue Management Strategy
This paper proposes a novel Markov Decision Process (MDP) to solve the problem of learning an optimal strategy by a Dialogue Manager for a flight enquiry system. A unique representation of state is presented f...
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Article
Probabilistic neural network algorithm for using radon emanations as an earthquake precursor
The investigation throughout the world in past two decades provides evidence which indicate that significance variation of radon and other soil gases occur in association with major geophysical events such as ...
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Article
Estimation of radon as an earthquake precursor: A neural network approach
An artificial neural networks (ANN) approach combined with Fourier Transform based selection of time period in the time series Radon Emission Data has been presented and shown to improve event prediction rates...
