Results 71 to 80 of about 1,801,338 (187)

Contextual Bandit Learning with Predictable Rewards

open access: yes, 2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on the action and context.
Agarwal, Alekh   +4 more
core   +2 more sources

A fine granularity based user collaboration algorithm for location privacy protection.

open access: yesPLoS ONE, 2019
As the location trajectory contains more spatial-temporal information about the user, it will be even dangerous for jeopardizing the privacy of the user.
Bin Wang, Lei Zhang, Guoyin Zhang
doaj   +1 more source

Context-Oriented Algorithmic Design

open access: yes, 2018
Currently, algorithmic approaches are being introduced in several areas of expertise, namely Architecture. Algorithmic Design (AD) is an approach for architecture that takes advantage of algorithms to produce complex designs, to simplify the exploration of variations, or to mechanize tasks, including those related to analysis and optimization of ...
Ferreira, Bruno   +1 more
openaire   +2 more sources

Context Aware Traffic Scheduling Algorithm for Power Distribution Smart Grid Network

open access: yesIEEE Access, 2019
The emergence of smart grid poses technical challenges to the power distribution network because of the increasing data traffic resulting from diverse data applications.
N. A. M. Radzi   +6 more
doaj   +1 more source

Persuasion in an Algorithmic Context

open access: yes
The centrality of data and algorithms in media have changed the creation, delivery, and consumption of online content, including persuasive content. This chapter focuses on the algorithmic persuasion process between consumers and brands, and introduces it through the research conducted at ASCoR’s Persuasion and New Media Technologies group. Algorithmic
van Noort, G.   +2 more
openaire   +1 more source

A Multi-Dimensional Context-Aware Recommendation Approach Based on Improved Random Forest Algorithm

open access: yesIEEE Access, 2018
Context-aware recommender systems focus on improving recommendation accuracy by adding contextual information and have been widely used in the real-world applications.
Xiang Li   +4 more
doaj   +1 more source

ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram

open access: yesInformation, 2018
Formal concept analysis (FCA) is largely applied in different areas. However, in some FCA applications the volume of information that needs to be processed can become unfeasible.
Phillip G. Santos   +6 more
doaj   +1 more source

Modified two-tiered testing algorithm for Lyme disease serology: the Canadian context

open access: yesCanada Communicable Disease Report, 2020
Background: Lyme disease (LD) is emerging in many parts of central and eastern Canada. Serological testing is most commonly used to support laboratory diagnosis of LD.
Todd Hatchette   +2 more
doaj   +1 more source

Kabsch Marker Estimation Algorithm—A Multi-Robot Marker-Based Localization Algorithm Within the Industry 4.0 Context

open access: yesIEEE Access
This paper introduces the Kabsch Marker Estimation Algorithm (KMEA), a new, robust multi-marker localization method designed for Autonomous Mobile Robots (AMRs) within Industry 4.0 (I4.0) settings.
Joao Braun   +3 more
doaj   +1 more source

Ship path planning based on improved multi-scale A* algorithm of collision risk function

open access: yesScientific Reports
To improve the safety of ship navigation in complex sea areas and reduce planning time while achieving optimal path planning. The paper proposes an improved A* algorithm that incorporates ship collision risk assessment.
Chunyu Song, Teer Guo, Jianghua Sui
doaj   +1 more source

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