When People and Algorithms Meet: User-reported Problems in Intelligent Everyday Applications

output instance [36] and their potential benefits have been investigated in diverse studies (e.g. [9, 10, 28, 30, 31, 35, 36], also cf. [1]). A third related line of research investigates interactivity [...] Manually with Google Maps 7 Recalculation 19 Manually without Google Maps 10 Deal with uncertainty 9 Feedback to Google Maps 5 Support Strategies Allow users to give feedback 13 Adapt to users 15 More [...] users experience that are of interest to us, be they caused by actual malfunction of the system or not. 9 CONCLUSION The complex nature of intelligent systemswith algorithmic decision- making poses difficult …

Kernel methods in machine learning

inequality: If k is a positive definite kernel, and x1, x2 ∈X , then k(x1, x2) 2 ≤ k(x1, x1) · k(x2, x2).(9) 2.2.1. Construction of the reproducing kernel Hilbert space. We now de- fine a map from X into the [...] (15) By virtue of these properties, k is called a reproducing kernel (Aronszajn [7]). Due to (15) and (9), we have |f(x)|2 = |〈k(·, x), f〉|2 ≤ k(x,x) · 〈f, f〉.(16) By this inequality, 〈f, f〉= 0 implies f = [...] Gaussian kernel k′(x,x′) = k(x,x′)f(x)f(x′) = e−‖x−x′‖2/(2σ2).(20) KERNEL METHODS IN MACHINE LEARNING 9 2.2.3. Properties of positive definite functions. We now let X = R d and consider positive definite …

Microsoft Word - Forschungsbericht_v02.doc

der Börse, gewaltige Verluste zur Folge haben, ohne dass eine T4 T11 T7T6T5 (STr)2 (STr)1 T2 T1 T3 T9 T8 T10 TR 7 faire Kontrolle möglich wäre. Die Deadline-Überschreitung ist also unzumutbar für die Kunden [...] Marktlage PERIODIC RESERVATION Anfrage nach Info über Marktlage PROP. SHARE Aushandlung eines Vertrags 9 [Lin99] Jon A. Lind. Realisation of the Highly Integrated Distributed Real-Time Safety-Critical System …

für neue Daten ~x das Attribut Y (Geschlecht) voraussagt, also ŷ = { m, falls f̂ (x) > θ w, sonst 9 von 51 Wiederholung: Lineare Modelle zur Klassifikation und Regression Bias-Varianz Beispiel: Klassifikation [...] f̂p(~x) = β̂T~x Der Fehler ist dann für ein beliebiges ~x : Err(~x0) = E [(Y − f̂p(~x0)) 2|X = ~x0] (9) = σ2 ε + Var(f̂p(~x0)) + [ f (~x0)− Ef̂p(~x0) ]2 (10) Die Anpassung des linearen Modells geht über …

Plate 4 F11 L-043801-01 J-043801-09 KIF9 16578 NM_010628 6754441 Plate 4 F11 L-043801-01 J-043801-10 KIF9 16578 NM_010628 6754441 Plate 4 F11 L-043801-01 J-043801-11 KIF9 16578 NM_010628 6754441 Plate 4 F11 [...] E09 L-048194-01 J-048194-09 SPAG9 70834 NM_001025430 70887783 Plate 6 E09 L-048194-01 J-048194-10 SPAG9 70834 NM_001025430 70887783 Plate 6 E09 L-048194-01 J-048194-11 SPAG9 70834 NM_001025430 70887783 Plate [...] L-054161-01 J-054161-09 PPP1R9B 217124 NM_172261 50053702 Plate 8 C07 L-054161-01 J-054161-10 PPP1R9B 217124 NM_172261 50053702 Plate 8 C07 L-054161-01 J-054161-11 PPP1R9B 217124 NM_172261 50053702 Plate …