Scientific Programming / 2020 / Article / Tab 3

Research Article

Bayesian-Based Search Decision Framework and Search Strategy Analysis in Probabilistic Search

Table 3

Comparison of search strategies under different false positive detection error.

(α, β)(0.10, 0.20)(0.20, 0.20)(0.30, 0.20)(0.40, 0.20)(0.50, 0.20)

E[TTDs]improved saccadic42.6060.5294.20140.02200.42
E[TTDc]improved saccadic400.23500.02782.631000.051800.52
Pimproved saccadic98.88%98.82%97.88%97.69%97.66%
E[TTDs]myopic49.6565.5188.64131.45221.10
E[TTDc]myopic51.2054.0365.5980.02132.73
Pmyopic98.05%98.02%97.43%97.19%96.65%
E[TTDs]saccadic50.1365.5892.11130.49217.11
E[TTDc]saccadic365.74527.20719.661085.391949.19
Psaccadic98.52%98.34%97.69%97.53%97.15%
E[TTDs]sweeping401.08581.68670.16698.94699.00
E[TTDc]sweeping18.5323.8826.8126.7227.59
Psweeping95.12%87.75%75.93%55.77%35.12%
E[TTDs]random jump362.41453.33478.20498.72499.99
E[TTDc]random jump142.69167.98185.31196.06200.48
Prandom jump86.23%72.26%55.51%40.09%27.69%
E[TTDs]snapshot57.6971.90102.86145.77230.56
E[TTDc]snapshot363.62469.20709.801112.781941.73
Psnapshot98.31%98.21%97.69%97.67%97.18%