Sentence examples for confusion using from inspiring English sources

Nickerson, J.V. & Corter, J.E. (2009) Clarity from confusion: Using intended interactions to design information systems.

Moise Tshombe took advantage of the ensuing confusion, using it as an opportunity to proclaim that the mineral-rich province of Katanga was seceding from the Congo.

Thirty-nine patinnts in Munich were also assessed for colour contrast sensitivity by determining red green (Protan) and blue yellow (Tritan) colour confusion using computer graphics techniques (Arden and Wolf, 2004).

After controlling residual confusion using a Poisson regression model, the risk of ICU candidemia-attributable mortality was relative risk (RR) 1.298 955% CI 0.88 to 1.98) and the risk of hospital candidemia-attributable mortality was RR 1.096 (95% CI 0.68 to 1.69).

I think that in order to really grasp a lesson one must ask questions, identify confusions, use evidence, and be skeptical.

It's important to lessen confusion use the words death and dying.

Table 9 Confusion matrices using LDA: cars vs vans   Cars Vans Cars 200 0 Vans 16 184 Table 10 Confusion matrices using LDA: sedans vs taxis   Sedans Taxis Sedans 194 6 Taxis 10 120 Table 11 Confusion matrices using LDA: sedans vs vans vs taxis   Sedans Vans Taxis Sedans 174 6 20 Vans 17 180 3 Taxis 7 0 123.

Table 7 Confusion matrices using PCA + SVM: cars vs vans   Cars Vans Cars 200 0 Vans 147 53 Table 8 Confusion matrices using PCA + SVM: sedans vs taxis   Sedans Taxis Sedans 131 69 Taxis 78 122.

Table 4 Confusion matrices using PCA + DIVS: cars vs vans   Cars Vans Cars 199 1 Vans 2 198 Table 5 Confusion matrices using PCA + DIVS: sedans vs taxis   Sedans Taxis Sedans 167 34 Taxis 1 129 Table 6 Confusion matrices using PCA + DIVS: sedans vs vans vs taxis   Sedans Vans Taxis Sedans 186 2 12 Vans 7 193 0 Taxis 9 1 120.

Table 12 Confusion matrices using implicit shape model: cars vs vans   Cars Vans Cars 191 9 Vans 6 194 Table 13 Confusion matrices using implicit shape model: sedans vs taxis   Sedans Taxis Sedans 183 17 Taxis 18 112 Table 14 Confusion matrices using implicit shape model: sedans vs vans vs taxis   Sedans Vans Taxis Sedans 137 22 41 Vans 3 190 7 Taxis 3 0 127.

Table 15 Confusion matrices using explicit shape model: cars vs vans   Cars Vans Cars 194 6 Vans 6 194 Table 16 Confusion matrices using explicit shape model: sedans vs taxis   Sedans Taxis Sedans 183 17 Taxis 19 111 Table 17 Confusion matrices using explicit shape model: sedans vs vans vs taxis   Sedans Vans Taxis Sedans 137 22 41 Vans 3 194 3 Taxis 5 0 125.