Microsoft Word - Errata.docx

8633002> /CHT <FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef69069752865bc9ad854c18cea76845370524d5370523786557406300260a853ef4ee54f7f752800200041006300720 [...] 4380438002e> /CHS <FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000410064006f006200650020005000440046002065876863900275284e8e9ad88d2891cf76845370524d53705237300260a853ef4ee54f7f75280020004100630072006f0 [...] 0620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002> /CZE <FEFF005400610074006f0020006e0061007300740061007600650 …

Microsoft Word - AlarmReductionDIMVA041_corr1.doc

41d012 10 16 7 41cd73 9 15 8 41ed06 8 12 2 41ce7d 8 13 7 428d36 8 12 2 425595 4 5 4 42b9e2 8 12 2 425728 4 5 4 42bc90 8 12 2 428b72 7 10 2 42bd85 8 12 2 42b98e 7 10 2 42bbd2 7 10 2 42bcbf 7 10 2 Patched [...] Vulnerability Assessment GI Special Interest Group SIDAR Workshop, DIMVA 2004 Dortmund, Germany, July 6-7, 2004 Proceedings DIMVA 2004 Gesellschaft für Informatik 2004 Lecture Notes in Informatics (LNI) - [...] very rare. Nonetheless, this is a region in which improvements on the proposed method are desirable. 7 Summary It has been shown that nondisclosure of vulnerability information is not a promising deter- …

category can has as few as 1 or as many as 1066 relevant documents. The experiments described in Section 7 were conducted on the full Reuters dataset using the ModeApte split. As mentioned above, the experiments [...] 0.992 0.013 0.888 0.052 5 0.936 0.036 0.992 0.013 0.888 0.067 6 0.936 0.033 0.992 0.013 0.888 0.060 7 0.940 0.035 0.992 0.013 0.900 0.064 8 0.934 0.033 0.992 0.010 0.885 0.058 10 0.927 0.032 0.997 0.009 [...] 0.992 0.013 0.900 0.055 5 0.944 0.026 0.992 0.013 0.903 0.051 6 0.943 0.030 0.992 0.013 0.900 0.055 7 0.940 0.035 0.992 0.013 0.895 0.064 8 0.940 0.045 0.992 0.013 0.895 0.063 10 0.932 0.032 0.990 0.015 …

Vorlesung Wissensentdeckung - Cluster Analyse

M E L A N O M A M C F 7 D -r e p ro C O L O N C O L O N K 5 6 2 B -r e p ro C O L O N N S C L C L E U K E M IA R E N A L M E L A N O M A B R E A S T C N S C N S R E N A L M C F 7 A -r e p ro N S C L C [...] LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA COLON COLON COLON COLON COLON COLON COLON MCF7A-repro BREAST MCF7D-repro BREAST NSCLC NSCLC NSCLC MELANOMA BREAST BREAST MELANOMA MELANOMA MELANOMA MELANOMA [...] − x2j | maxj −minj Nominale Attribute: Ganz einfach: simj(x1j , x2j) = { 1 falls x1j = x2j 0 sonst 7 von 38 LS 8 Informatik Computergestützte Statistik Technische Universität Dortmund Lernaufgabe Clus …

38-KomDat-33(PDF).vp

(KJH-Statistik) Sorgerechts- entzüge (KJH- Statistik)2 2002 2,5 50,4 6,7 7,9 2005 3,3 62,5 7,3 9,0 2008 4,4 104,2 13,3 13,3 2009 4,3 107,7 13,5 13,2 Tab. 1: Entwicklung von Fällen der Misshandlung Schutz- [...] Jahr gestiegen. Das ent- spricht einer Zunahme der Quote pro 10.000 der ge- nannten Altersgruppe von 7 auf 14 Fälle (vgl. Tab. 1). Ähnlich wie bei den Hilfen zur Erziehung beruht diese Steigerung überwiegend [...] Alter die An- 0 20 40 60 80 100 H zE (N = 10 2. 72 0) EH (N = 1. 05 0) H zE (N = 97 .1 29 ) EH (N = 10 .7 17 ) H zE (N = 11 9. 69 6) EH (N = 20 .5 35 ) H zE (N = 13 6. 20 1) EH (N = 10 .3 01 ) H zE (5 5. 81 …

Vorlesung Maschinelles Lernen - Cluster Analyse

M E L A N O M A M C F 7 D -r e p ro C O L O N C O L O N K 5 6 2 B -r e p ro C O L O N N S C L C L E U K E M IA R E N A L M E L A N O M A B R E A S T C N S C N S R E N A L M C F 7 A -r e p ro N S C L C [...] LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA COLON COLON COLON COLON COLON COLON COLON MCF7A-repro BREAST MCF7D-repro BREAST NSCLC NSCLC NSCLC MELANOMA BREAST BREAST MELANOMA MELANOMA MELANOMA MELANOMA [...] − x2j | maxj −minj Nominale Attribute: Ganz einfach: simj(x1j , x2j) = { 1 falls x1j = x2j 0 sonst 7 von 38 LS 8 Künstliche Intelligenz Fakultät für Informatik Technische Universität Dortmund Lernaufgabe …

p j with j ∈ {1,4,6,8}, j ∈ {2,4,6,8}, j ∈ {1,5,7,9} or j ∈ {2,5,7,9}. Out of these possible selections, the pieces ending at positions p j, j ∈ {2,5,7,9}, optimize the costs of the second parameter and [...] individual needs. 7 j 1 2 3 4 5 6 7 8 9 c1(p j) 3 3 6 2 1 0 0 4 5 d1,1(p j) 3 3 6 2 1 0 0 4 5 d1,2(p j) ∞ ∞ 9 5 4 2 1 4 5 d1,3(p j) ∞ ∞ ∞ ∞ 10 5 4 6 6 d1,4(p j) ∞ ∞ ∞ ∞ ∞ ∞ 10 9 9 c2(p j) 2 1 0 2 3 7 4 1 2 d2,1(p [...] 3: while pos < P do 4: if ∀i = 1, . . . , I : ri(p)≤ αi then 5: pieceCount← pieceCount +1 6: step← l 7: else 8: step← max i=1,...,I ri(p)−αi 9: step←max(step,1e−16) · l 10: pos← pos+step 11: return pieceCount …

M E L A N O M A M C F 7 D -r e p ro C O L O N C O L O N K 5 6 2 B -r e p ro C O L O N N S C L C L E U K E M IA R E N A L M E L A N O M A B R E A S T C N S C N S R E N A L M C F 7 A -r e p ro N S C L C [...] LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA LEUKEMIA COLON COLON COLON COLON COLON COLON COLON MCF7A-repro BREAST MCF7D-repro BREAST NSCLC NSCLC NSCLC MELANOMA BREAST BREAST MELANOMA MELANOMA MELANOMA MELANOMA [...] x2j | maxj −minj Nominale Attribute: Ganz einfach: simj (x1j , x2j ) = { 1 falls x1j = x2j 0 sonst 7 von 38 Lernaufgabe Cluster-Analyse K-Means Hierarchisches Clustering d : Abstand für einzelne Attribute …