Zobrazeno 1 - 10
of 21
pro vyhledávání: '"K J Prabuchandran"'
Publikováno v:
Applied Intelligence. 52:3209-3226
Stochastic multi-armed bandit (MAB) mechanisms are widely used in sponsored search auctions, crowdsourcing, online procurement, etc. Existing stochastic MAB mechanisms with a deterministic payment rule, proposed in the literature, necessarily suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7782b410095d734bd53015d5830a0990
https://doi.org/10.1007/s10489-021-02387-2
https://doi.org/10.1007/s10489-021-02387-2
Publikováno v:
Applied Intelligence. 51:1565-1579
Zeroth Order Bayesian Optimization (ZOBO) methods optimize an unknown function based on its black-box evaluations at the query locations. Unlike most optimization procedures, ZOBO methods fail to utilize gradient information even when it is available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cc90bd08dfbae7c96d8374a0db3401e
https://doi.org/10.1007/s10489-020-01896-w
https://doi.org/10.1007/s10489-020-01896-w
Publikováno v:
Applied Intelligence. 50:3590-3606
Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive. In many real world problems like traffic signal control, robotic appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b8c6e1b6d921941cd91c4b4a8e5deb
https://doi.org/10.1007/s10489-020-01758-5
https://doi.org/10.1007/s10489-020-01758-5
Akademický článek
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Publikováno v:
Applied Intelligence; Jan2022, Vol. 52 Issue 2, p1930-1955, 26p
One of the popular measures of central tendency that provides better representation and interesting insights of the data compared to the other measures like mean and median is the metric mode. If the analytical form of the density function is known,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf50dfa084e3b67859b0e395ab8a4e7b
http://arxiv.org/abs/1902.03806
http://arxiv.org/abs/1902.03806
Publikováno v:
IEEE Transactions on Communications. 63:1811-1823
We consider the problem of finding optimal energy sharing policies that maximize the network performance of a system comprising of multiple sensor nodes and a single energy harvesting (EH) source. Sensor nodes periodically sense the random field and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd61d70017324bc1e6873db76fa4272
https://doi.org/10.1109/tcomm.2015.2415777
https://doi.org/10.1109/tcomm.2015.2415777
We consider the problem of tracking an intruder using a network of wireless sensors. For tracking the intruder at each instant, the optimal number and the right configuration of sensors has to be powered. As powering the sensors consumes energy, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82ee9ef214ae62db1ef5b86964070f29
http://arxiv.org/abs/1708.08113
http://arxiv.org/abs/1708.08113
The problem of maximizing information diffusion, given a certain budget expressed in terms of the number of seed nodes, is an important topic in social networks research. Existing literature focuses on single phase diffusion where all seed nodes are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f374555725eacc7d5a83ba9b99d058d2
http://arxiv.org/abs/1706.07739
http://arxiv.org/abs/1706.07739
Publikováno v:
CDC
Stochastic optimization (SO) considers the problem of optimizing an objective function in the presence of noise. Most of the solution techniques in SO estimate gradients from the noise corrupted observations of the objective and adjust parameters of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b261e661dae237d4a9038323efcf42f