no code implementations • 4 Nov 2022 • Shikha Singh, Kamal Lodaya, Deepak Khemani
In dynamic epistemic logic (Van Ditmarsch, Van Der Hoek, & Kooi, 2008) it is customary to use an action frame (Baltag & Moss, 2004; Baltag, Moss, & Solecki, 1998) to describe different views of a single action.
no code implementations • 22 Jan 2020 • Shikha Singh, Deepak Khemani
Though a lot of work in multi-agent systems is focused on reasoning about knowledge and beliefs of artificial agents, an explicit representation and reasoning about the presence/absence of agents, especially in the scenarios where agents may be unaware of other agents joining in or going offline in a multi-agent system, leading to partial knowledge/asymmetric knowledge of the agents is mostly overlooked by the MAS community.
no code implementations • 11 Dec 2019 • Shikha Singh, Angshul Majumdar
The advantage of our proposed approach is that, the requirement of training volume drastically reduces compared to state-of-the-art techniques.
no code implementations • 11 Dec 2019 • Shikha Singh, Angshul Majumdar
Prior studies in this area are shallow learning techniques, i. e. they learn a single layer of dictionary for every device.
no code implementations • 11 Dec 2019 • Shikha Singh, Angshul Majumdar
This work follows the approach of multi-label classification for non-intrusive load monitoring (NILM).
no code implementations • 17 Oct 2019 • Sagar Verma, Shikha Singh, Angshul Majumdar
Some recent studies have proposed that if we frame Non-Intrusive Load Monitoring (NILM) as a multi-label classification problem, the need for appliance-level data can be avoided.
no code implementations • 22 Dec 2016 • Shikha Singh, Vanika Singhal, Angshul Majumdar
In this work we show that by learning directly from the compressed domain, considerably better results can be obtained.
no code implementations • 22 Dec 2016 • Vanika Singhal, Shikha Singh, Angshul Majumdar
In the final layer one needs to use the label consistent dictionary learning formulation for classification.