Microsoft Word - Yoshida02-07proof.doc

treatment. Data represent the means ± SEM of results from three independent experiments. *p <0.0001 control vs. TGF-β, **p <0.05 TGF-β vs. TGF-β plus ONO. (B) The amount of TGF-β-induced α-SMA was determined by [...] treatment. Data represent the means ± SEM of results from three independent experiments. *p <0.0001 control vs. TGF-β, **p <0.0001 TGF-β vs. TGF-β plus SP600125 or SB203580. (B, C) The levels of TGF-β-induced JNK [...] means ± SEM of results from six and four independent experiments, respectively. *p <0.0001 control vs. TGF-β, **p <0.05 TGF-β vs. TGF-β plus ONO. 31 ONO inhibits the TGF-β-mediated phosphorylation of JNK …

Evaluation and Selection of Classifiers – Lecture Notes

\approx e^{-1} \approx 0.368)\) . The overall accuracy of the model \(M\) is then estimated across \(k\) repetitions using: \[\mathrm{Acc}(M) = \tfrac {1}{k} \sum \nolimits _{i=1}^k \left(0.632 \cdot \mathr [...] ision}, \text{recall}\} \leq F_1 \leq \max \{ \text{precision},\text{recall}\}\) Perfect scores: 1.0 each (no \(\mathit{FP}\) , and no \(\mathit{FN}\) ). Classifier Evaluation: Multi-Class Confusion Matrix [...] \mathrm{Acc}(M_i)_\text {test\_ set} + 0.368 \cdot \mathrm{Acc}(M_i)_\text {train\_ set}\right)\] Beneficial for small data sets because the resulting training folds are as big as the input data. Considerations …

Evaluation and Selection of Classifiers – Lecture Notes

\approx e^{-1} \approx 0.368)\) . The overall accuracy of the model \(M\) is then estimated across \(k\) repetitions using: \[\mathrm{Acc}(M) = \tfrac {1}{k} \sum \nolimits _{i=1}^k \left(0.632 \cdot \mathr [...] ision}, \text{recall}\} \leq F_1 \leq \max \{ \text{precision},\text{recall}\}\) Perfect scores: 1.0 each (no \(\mathit{FP}\) , and no \(\mathit{FN}\) ). Classifier Evaluation: Multi-Class Confusion Matrix [...] \mathrm{Acc}(M_i)_\text {test\_ set} + 0.368 \cdot \mathrm{Acc}(M_i)_\text {train\_ set}\right)\] Beneficial for small data sets because the resulting training folds are as big as the input data. Considerations …

de/bitstreams/9ff870d0-03b3-4a99-941a-f4f87aaba54c/download","type":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"},{"href":"https://eldorado.tu-dortmund.de/bitstreams/3d1b69b0-4e02-4e03-a [...] n","type":"application/linkset+json"}],"anchor":"https://eldorado.tu-dortmund.de/bitstreams/9ff870d0-03b3-4a99-941a-f4f87aaba54c/download"},{"collection":[{"href":"https://eldorado.tu-dortmund.de/item [...] n","type":"application/linkset+json"}],"anchor":"https://eldorado.tu-dortmund.de/bitstreams/3d1b69b0-4e02-4e03-ab75-b1d2389ab788/download"},{"describes":[{"href":"https://eldorado.tu-dortmund.de/items …

Sonstige Veröffentlichungen

planning = 0.408Po + 0.454Ec + 0.398So + 0.368En + 0.259Ot. In which the group of factors with the strongest influence was the Eco factors (β = 0.454), the second was the Po factors (β = 0.408), the third [...] third was the So factors (β = 0.398), the fourth was the En factors (β = 0.368), and lastly, there were the Ot factors (β = 0.259). The results of the analysis were used to plan land use effectively and …