Optimal search and optimal detection

2007 ◽  
Author(s):  
D.J. Matthiesen
Keyword(s):  
Optimal Detection ◽  
Optimal Search

Optimal Search and Interdiction Planning

2014 ◽  
Author(s):  
Jesse Pietz ◽  
Johannes O. Royset
Keyword(s):  
Optimal Search

scholarly journals B-PO05-084 THE OPTIMAL DETECTION ALGORITHM TO IDENTIFY THE FOCAL SOURCES OF ROTOR IN PERSISTENT ATRIAL FIBRILLATION

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S405-S406
Author(s):  
Chia-Hsin Chiang ◽  
Men-Tzung Lo ◽  
Chen Lin ◽  
Fa-Po Chung ◽  
Yenn-Jiang Lin ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Persistent Atrial Fibrillation ◽  
Detection Algorithm ◽  
Optimal Detection

scholarly journals Designing Approximately Optimal Search on Matching Platforms

2021 ◽  
Author(s):  
Nicole Immorlica ◽  
Brendan Lucier ◽  
Vahideh Manshadi ◽  
Alexander Wei
Keyword(s):  
Optimal Search

Influence of spark size and temperature on LIBS gating for optimal detection limits for toxic metals

2002 ◽  
Author(s):  
Steven Buckley ◽  
Gregg Lithgow ◽  
Francesco Ferioli ◽  
Elizabeth Smallwood
Keyword(s):  
Toxic Metals ◽  
Detection Limits ◽  
Optimal Detection

scholarly journals First Order Transition for the Optimal Search Time of Lévy Flights with Resetting

2014 ◽  
Vol 113 (22) ◽  
Author(s):  
Lukasz Kusmierz ◽  
Satya N. Majumdar ◽  
Sanjib Sabhapandit ◽  
Grégory Schehr
Keyword(s):  
Search Time ◽  
Order Transition ◽  
Optimal Search ◽  
Lévy Flights ◽  
First Order ◽  
Levy Flights ◽  
First Order Transition

scholarly journals Optimal detection of hypothyroidism in early stage laryngeal cancer treated with radiotherapy

2015 ◽  
Vol 44 (1) ◽  
Author(s):  
Graeme B. Mulholland ◽  
Han Zhang ◽  
Nhu-Tram A. Nguyen ◽  
Nicholas Tkacyzk ◽  
Hadi Seikaly ◽  
...  
Keyword(s):  
Laryngeal Cancer ◽  
Early Stage ◽  
Optimal Detection

scholarly journals Optimal Detection and Error Exponents for Hidden Semi-Markov Models

2018 ◽  
Vol 12 (5) ◽  
pp. 1077-1092 ◽  
Author(s):  
Dragana Bajovic ◽  
Kanghang He ◽  
Lina Stankovic ◽  
Dejan Vukobratovic ◽  
Vladimir Stankovic
Keyword(s):  
Markov Models ◽  
Optimal Detection ◽  
Error Exponents

Optimal Search, Learning, and Implementation

2009 ◽  
Author(s):  
Alex Gershkov ◽  
Benny Moldovanu
Keyword(s):  
Optimal Search

scholarly journals Optimal Search for a Moving Target

1995 ◽  
Vol 9 (2) ◽  
pp. 159-182 ◽  
Author(s):  
I. M. MacPhee ◽  
B. P. Jordan
Keyword(s):  
Markov Chain ◽  
Optimal Policy ◽  
Average Cost ◽  
Large Range ◽  
Moving Target ◽  
Optimal Search ◽  
Threshold Probability

Consider the problem of searching for a leprechaun that moves randomly between two sites. The movement is modelled with a two-state Markov chain. One of the sites is searched at each time t = 1,2,…, until the leprechaun is found. Associated with each search of site i is an overlook probability αi and a cost Ci Our aim is to determine the policy that will find the leprechaun with the minimal average cost. Let p denote the probability that the leprechaun is at site 1. Ross conjectured that an optimal policy can be defined in terms of a threshold probability P* such that site 1 is searched if and only if p ≥ P*. We show this conjecture to be correct (i) when α1 = α2 and C1 = C2, (ii) for general Ci when the overlook probabilities α, are small, and (iii) for general αi and Ci for a large range of transition laws for the movement. We also derive some properties of the optimal policy for the problem on n sites in the no-overlook case and for the case where each site has the same αi, and Ci.

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