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08.2020. 1. Einleitung 2. Methodische Hinweise 2.1 Rücklauf 2.1.1 Rücklauf nach Bundesländern 2.1.2 Rücklauf nach Jugendamtstypen 2.2 Vergleichsdaten der KJH-Statistik 2016-2018 2.2.1 Monatliche Verteilung [...] Initiative der Betroffenen 9,2% 9,0% 8,9% 9,0% darunter: Eltern(-teil)/Personensorgeberechtigte/-r 7,0% 6,8% 6,8% 6,9% darunter: Minderjährige/-r selbst 2,2% 2,1% 2,1% 2,2% Anteil der 8a-Verfahren aufgrund [...] 8a-Verfahren 2.2.2 Jährliche Varianz der Ergebnisse der Jugendamtsbezirke 2.2.3 Eckdaten zu Verteilungen einzelner Merkmale 2016-2018 3. Ergebnisse 3.1 Zentrale Ergebnisse im tabellarischen Überblick 3.2 Entwicklung …

Bias-Variance Tradeoff – Lecture Notes

= E[(f(x)-y)^2] = E[f(x)^2-2f(x)y+y^2] \phantom{{}+\varepsilon }\phantom{{}+\varepsilon ^2 +2\varepsilon f(x)-2\varepsilon y}\\ & = E[f(x)^2]-2E[f(x)]y+y^2 \\ & = \underbrace{\text{Bias}^2(f(x),y)}_{\t [...] on }-y)^2] = E[f(x)^2-2f(x)y+y^2 \textcolor[RGB]{0,155,170}{{}+\varepsilon ^2 +2\varepsilon f(x)-2\varepsilon y}] \\ & = E[f(x)^2]-2E[f(x)]y+y^2 \textcolor[RGB]{0,155,170}{{}+E[\varepsilon ^2]} \\ & = [...] \text{Bias}^2(f(x),y) & = (E[f(x)]-y)^2 = E[f(x)]^2-2 E[f(x)]y+y^2 \\ \end{align*}\] Variance is the variability in the predictions \[\begin{align*} \text{Var}(f(x)) & = E[f(x)^2] - E[f(x)]^2 \\ \end{align*}\] …

Bias-Variance Tradeoff – Lecture Notes

= E[(f(x)-y)^2] = E[f(x)^2-2f(x)y+y^2] \phantom{{}+\varepsilon }\phantom{{}+\varepsilon ^2 +2\varepsilon f(x)-2\varepsilon y}\\ & = E[f(x)^2]-2E[f(x)]y+y^2 \\ & = \underbrace{\text{Bias}^2(f(x),y)}_{\t [...] on }-y)^2] = E[f(x)^2-2f(x)y+y^2 \textcolor[RGB]{0,155,170}{{}+\varepsilon ^2 +2\varepsilon f(x)-2\varepsilon y}] \\ & = E[f(x)^2]-2E[f(x)]y+y^2 \textcolor[RGB]{0,155,170}{{}+E[\varepsilon ^2]} \\ & = [...] \text{Bias}^2(f(x),y) & = (E[f(x)]-y)^2 = E[f(x)]^2-2 E[f(x)]y+y^2 \\ \end{align*}\] Variance is the variability in the predictions \[\begin{align*} \text{Var}(f(x)) & = E[f(x)^2] - E[f(x)]^2 \\ \end{align*}\] …

Microsoft Word - Porntadavity_minireview_241110_proof.doc

Mahidol University, 2 Parn Nok Road, Bangkok Noi, Bangkok 10700, Thailand. Telephone: 66-2-419-7168. Fax: 66-2-441-4380. E-mail: mtspy@mahidol.ac.th. ABSTRACT Human paraoxonase 2 (PON2), which is a member [...] the PON2 promoter revealed a putative sterol regula- tory binding protein-2 (SREBP-2) DNA element that is located between -593 bp and -575 bp of the PON2 promoter that may play a major role in PON2 regulation [...] genotypes in multiple chemical sensitivity: CYP2D6, NAT1, NAT2, PON1, PON2 and MTHFR. Int J Epidemiol 2004;33:971-8. Meilin E, Aviram M, Hayek T. Paraoxonase 2 (PON2) decreases high glu- cose-induced macrophage …

K2(~xi , ~xj ) = 〈 ~xi , ~xj 〉2 = ((xi1 , xi2 ) ∗ (xj1 , xj2 ))2 = (xi1xj1 + xi2xj2 )2 = x2 i1x 2 j1 + 2xi1xj1xi2xj2 + x2 i2x 2 j2 = (x2 i1 , √ 2xi1xi2 , x 2 i2 ) ∗ (x2 j1 , √ 2xj1xj2 , x 2 j2 ) =: 〈 [...] K2(~xi , ~xj ) = 〈 ~xi , ~xj 〉2 = ((xi1 , xi2 ) ∗ (xj1 , xj2 ))2 = (xi1xj1 + xi2xj2 )2 = x2 i1x 2 j1 + 2xi1xj1xi2xj2 + x2 i2x 2 j2 = (x2 i1 , √ 2xi1xi2 , x 2 i2 ) ∗ (x2 j1 , √ 2xj1xj2 , x 2 j2 ) =: 〈 [...] Beispiel: d = 2, ~xi , ~xj ∈ R2. K2(~xi , ~xj ) = 〈 ~xi , ~xj 〉2 = ((xi1 , xi2 ) ∗ (xj1 , xj2 ))2 = (xi1xj1 + xi2xj2 )2 = x2 i1x 2 j1 + 2xi1xj1xi2xj2 + x2 i2x 2 j2 = (x2 i1 , √ 2xi1xi2 , x 2 i2 ) ∗ (x2 j1 , √ …

player 1 is given by ∂uBP1 ∂ 1 = 2 ( 1 + 2)2 V − 2 1( 1 + 2)− 2 1 ( 1 + 2)2 V + 2( 1 + 2)− 1 2 ( 1 + 2)2 V + 2 ( 1 + 2)2 V − 2 2 ( 1 + 2)2 V − 2( 1 + 2)− 2 1 ( 1 + 2)2 V ! = 0. Using symmetry, we can [...] r(1 + 2)r−1((1 + 2)r + (1 + 2)r) ((1 + 2)r + (1 + 2)r)2 V − r(1 + 2)r−1(1 + 2)r ((1 + 2)r + (1 + 2)r)2 V − ((1 + 2)r + r1(1 + 2)r−1)((1 + 2)r + (1 + 2)r) ((1 + 2)r + (1 + 2)r)2 V + r(1 + 2)r−11(1 + 2)r ((1 [...] + 1)r + r2(1 + 2)r)2 r1(1− 1)V − V c ! = 0, ∂P2 ∂2 = (rr−1 2 − (r + 1)r2)(r1(1 + 1)r + r2(1 + 2)r) (r1(1 + 1)r + r2(1 + 2)r)2 (1 + 2)rV − rr−1 2 (1 + 2)r(r2 − r+1 2 ) (r1(1 + 1)r + r2(1 + 2)r)2 (1 + 1)rV …