fsr:ausleihe

B2-Unten - 1 Beamer (Acer) + Koffer + Fernbedienung B2-Unten 80 1 Beamer (NEC) + Tasche + Fernbedienung (nur fakultätsintern) B2-Oben 60 1 PA (1 Mischpult, 2 Boxen, 2 Boxenkabel) B1-unten / L1-unten 60 2 [...] Müllraum 5 1 Heißluft-Föhn Büro 10 4 Waffeleisen (Krups - drehbar) L1-oben 25 1 Waffeleisen (Krups - nicht drehbar) L1-Oben 10 3 Ofen E37-Theke 10 2 Induktionskochfeld mit Zubehör C5-Unten 20 1 Kochfeld [...] hälter mit Zubehör C1-Unten 10 1 Baustrahler Büro 30 2 Kabeltrommel 50m Büro 15 1 Konferenzmikrofon Jabra Speak 710 B1-Unten 35 ca. 300 Eventbecher Küche 1/stk Diese Seite ist über den Kurzlink oh14.d …

LNCS 3731 - Incremental Modeling Under Large-Scale Distributed Interaction

(a) p1 p2 p3 p4 e1 e2 e3 e4 b1 b2 (b) p1 p2 p3 p4 e1 e2 e3 e4 b1 b2 (c) p1 p2 p3 p4 e1 e2 e3 e4 b1 b2 Fig. 1. Incremental Design of Sequential Processes Step 1 (Fig. 1.a): Adding coupling relations between [...] symmetrically for P2. SC1: If P1 has arrived in ti1 while P2 has not entered ti2 or co2, P1 has to wait. SC2: If P1 has arrived in co1 while P2 is still in ti2 then P1 cannot proceed, and P1 exerts an influence [...] P2 as to leaving ti2. SC3: If P1 has arrived in un1 while P2 is still in co2 then P1 cannot proceed, and P1 exerts an influence on P2 as to leaving co2. SC4: If P1 is in ti1 and P2 is outside of its com …

Exact Text Search and Ranked Retrieval – Lecture Notes

mouse rise of second that the to together wealthy wise worm Doc 1 1 1 1 1 1 1 Doc 2 1 1 1 1 1 1 1 1 Doc 3 1 1 1 1 1 1 Doc 4 1 1 1 1 1 1 1 1 1 1 1 intersection of bird AND early = 0011 AND 1010 = 0010 matching [...] store the quantity/positions along with the document: bird → Doc 1 ×1, Doc 2 ×1 early → Doc 2 ×1, Doc 4 ×2 early → Doc 2 @ 4, Doc 4 @ 1,5 Ranked Retrieval – Approximative Matching Exact matches (boolean [...] store the binary matrix for large document collections. Solution: We store only the 1’s, for each term , sorted. bird → Doc 1 , Doc 2 early → Doc 2 , Doc 4 Optimizations: sort lists, and use a merge operation …

Exact Text Search and Ranked Retrieval – Lecture Notes

mouse rise of second that the to together wealthy wise worm Doc 1 1 1 1 1 1 1 Doc 2 1 1 1 1 1 1 1 1 Doc 3 1 1 1 1 1 1 Doc 4 1 1 1 1 1 1 1 1 1 1 1 intersection of bird AND early = 0011 AND 1010 = 0010 matching [...] store the quantity/positions along with the document: bird → Doc 1 ×1, Doc 2 ×1 early → Doc 2 ×1, Doc 4 ×2 early → Doc 2 @ 4, Doc 4 @ 1,5 Ranked Retrieval – Approximative Matching Exact matches (boolean [...] store the binary matrix for large document collections. Solution: We store only the 1’s, for each term , sorted. bird → Doc 1 , Doc 2 early → Doc 2 , Doc 4 Optimizations: sort lists, and use a merge operation …

(β0, β1) und πi1 = exp(β0 + xiβ1)/(1+exp(β0+xiβ1)). Nehmen Sie der Einfachheit halber an, dass x1 ≤ x2 ≤ . . . ≤ xn gilt. Im Falle vollständiger Trennbarkeit sind dann y1 = . . . = ym = 1 und ym+1 = . [...] 0 für xi ≥ x0 und yi = 1 für xi < x0. Bei der Anpassung des logistischen Regressionsmodells an die Daten wird die log-likelihood lnL(β) = n∑ i=1 (yi ln(πi1) + (1− yi) ln(1− πi1)) maximiert. Im Fall einer [...] . . = yn = 0 für ein m ∈ {1, . . . , n− 1} und xm < xm+1. Zeigen Sie: Im Fall vollständiger Trennbarkeit existiert der ML-Schätzer für β nicht. Hier ein paar Tipps zur Vorgehensweise: – Leiten Sie …

Datenbanken Sommersemester 2010 Blatt 3 Aufgabe 3.1 (7 Punkte) Betrachten Sie folgenden Datenstrom: id 1 1 2 3 2 1 1 1 3 1 2 3 4 1 2 2 5 1 2 1 6 1 1 1 7 1 2 3 8 1 2 1 (a) Wenden Sie den aus der Vorlesung bekannten …

Aktuelle Entwicklungen in den Hilfen zur Erziehung

(99) (1 9 2 ) (1 9 0 ) (1 9 4 ) (1 9 6 ) (2 0 1 ) (1 7 3 ) (9 8 ) (1 0 4 ) (1 0 9 ) (1 1 4 ) (1 1 8 ) (1 1 5 ) (4 3 ) (5 1 ) (4 3 ) (4 0 ) (3 9 ) (3 6 ) (3 1 ) (3 8 ) (3 2 ) (2 9 ) (2 8 ) (2 6 ) (1 1 9 ) [...] .9 2 2 1 5 6 .6 9 6 6 7 .8 0 5 4 9 .4 5 7 1 6 .2 5 0 3 0 6 .1 6 4 1 6 7 .7 0 2 8 2 .8 9 8 6 1 .7 6 4 1 8 .6 8 1 3 1 4 .2 5 6 1 7 5 .6 3 0 6 9 .5 8 0 5 1 .1 2 6 1 6 .1 6 2 3 1 7 .0 7 1 1 8 5 .1 9 7 6 5 [...] (394) 1 .1 1 8 .3 4 7 (692) 6 5 9 .1 2 7 (408) 1 .1 4 5 .9 9 1 (708) 6 7 9 .9 5 3 (420) (721) 1 .1 6 7 .8 0 5 6 9 0 .9 5 0 (426) (692) (422) 6 8 3 .3 2 6 6 9 3 .7 6 7 (427) 1 .1 2 7 .8 6 9 1 .1 2 1 .7 7 …