Results 61 to 70 of about 8,751,520 (309)

Ciphertext-policy attribute-based encryption with hidden sensitive policy from keyword search techniques in smart city

open access: yesEURASIP Journal on Wireless Communications and Networking, 2021
Countless data generated in Smart city may contain private and sensitive information and should be protected from unauthorized users. The data can be encrypted by Attribute-based encryption (CP-ABE), which allows encrypter to specify access policies in ...
Fei Meng, Leixiao Cheng, Mingqiang Wang
doaj   +1 more source

The SEO effect. Mapping the optimized landscape around controversial policy issues in Italy

open access: yesFrontiers in Sociology, 2023
This research investigates the use of search engine optimization (SEO) by political and non-political actors to amplify the visibility of search engine results.
Laura Caroleo   +2 more
doaj   +1 more source

Hierarchical Policy Search via Return-Weighted Density Estimation

open access: yes, 2017
Learning an optimal policy from a multi-modal reward function is a challenging problem in reinforcement learning (RL). Hierarchical RL (HRL) tackles this problem by learning a hierarchical policy, where multiple option policies are in charge of different
Osa, Takayuki, Sugiyama, Masashi
core   +1 more source

Optimal Direct Policy Search [PDF]

open access: yes, 2011
Hutter's optimal universal but incomputable AIXI agent models the environment as an initially unknown probability distributioncomputing program. Once the latter is found through (incomputable) exhaustive search, classical planning yields an optimal policy.
Tobias Glasmachers, Jürgen Schmidhuber
openaire   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag   +5 more
wiley   +1 more source

Cultural Policy Model in Allavi Government; in Search of a Model for Policy Making and Planning [PDF]

open access: yesReligion & Communication, 2016
This article tries to consider a policy making model for planning cultural activities in the Allavi type of Government. To this end, through library and document analysis research, both primary and secondary resources have been investigated and political
Hesamodin Ashna   +1 more
doaj   +1 more source

Screening for lung cancer: A systematic review of overdiagnosis and its implications

open access: yesMolecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz   +12 more
wiley   +1 more source

Learning Contact-Rich Manipulation Skills with Guided Policy Search

open access: yes, 2015
Autonomous learning of object manipulation skills can enable robots to acquire rich behavioral repertoires that scale to the variety of objects found in the real world.
Abbeel, Pieter   +2 more
core   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

Policy Search: Any Local Optimum Enjoys a Global Performance Guarantee [PDF]

open access: yes, 2013
Local Policy Search is a popular reinforcement learning approach for handling large state spaces. Formally, it searches locally in a paramet erized policy space in order to maximize the associated value function averaged over some predefined distribution.
Geist, Matthieu, Scherrer, Bruno
core   +3 more sources

Home - About - Disclaimer - Privacy