Frequent Sequence Mining – Lecture Notes

F 2 15 A, B, F 2 20 E 3 10 A, B, F 4 10 D, G, H 4 20 B, F 4 25 A, G, H Frequent Sequences: Sequence Support A 4 B 4 D 2 F 4 A B 3 A F 3 B \(\rightarrow\) A 2 B F 4 D \(\rightarrow\) A 2 D \(\rightarrow\) …

Exact Text Search and Ranked Retrieval – Lecture Notes

operator – usually 2–4× larger index) For TF-IDF, we can 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 [...] Model If we want to search for bird + early , this corresponds to using AND on these columns: Dim 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 a and bed bird but cheese early feather [...] 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 document: bit 2 …

Frequent Sequence Mining – Lecture Notes

F 2 15 A, B, F 2 20 E 3 10 A, B, F 4 10 D, G, H 4 20 B, F 4 25 A, G, H Frequent Sequences: Sequence Support A 4 B 4 D 2 F 4 A B 3 A F 3 B \(\rightarrow\) A 2 B F 4 D \(\rightarrow\) A 2 D \(\rightarrow\) …

oder eine andere Sicht der Dinge – p.3/31 Trau, SCHAU, wem?–V-IDS oder eine andere Sicht der Dinge – p.4/31 Problemstellung (2) Der Mensch bleibt in der IT-Sicherheit auf absehbar e Zeit der zentrale Informationsv [...] der Dinge – p.13/31 V-QL konkret Eine Zeile V-QL kann schon komplexe Objekte erstellen: SHOW(Torus(0.4), Color([1,0,0]), Scale(2)); Trau, SCHAU, wem?–V-IDS oder eine andere Sicht der Dinge – p.14/31 Trau [...] 15/31 V-QL konkret Zwei Zeilen mehr: Bewegung kommt ins Spiel STATEangle = 0; angle ~= Pi; SHOW(Torus(0.4), Color([1,0,0]), Rotate([0,1,0], angle) * Scale(2)); Trau, SCHAU, wem?–V-IDS oder eine andere Sicht …

PaperUngerEtAlICSHF03.03.06.dvi

s−1 MPa - Al 3.5 × 101 2.0 × 10−3 1.9 × 10−1 1.4 × 10−3 1.0 × 10−4 5.0 × 100 4.0 × 100 Ti 1.7 × 102 2.0 × 10−3 1.5 × 10−1 8.7 × 10−4 1.0 × 10−4 4.0 × 100 4.0 × 100 Table 2: Inelastic parameters λr µr αr [...] s−2 K−1 J s−1 m−1 K−1 Al 5.0 × 104 2.6 × 104 2.3 × 10−5 2.7 × 103 9.2 × 108 2.4 × 102 Ti 8.5 × 104 4.4 × 104 8.6 × 10−6 4.5 × 103 5.2 × 108 2.2 × 101 Table 3: Thermoelastic parameters 0 100 200 300 400 [...] observed stress drop. 0 100 200 300 400 0 0.5 1 1.5 2x 10 −4 ǫ̇ P [s − 1 ] t [s] 0 20 40 60 −50 −40 −30 −20 −10 0 ǫ̇ E [s − 1 ] t [µs] Figure 4: Rate of change of the accumulated inelastic strain as a function …

SVMstruct

F1 Const CPU(%QP) PCFG 61.4 90.4 55.2 86.0 N/A 0 SVMnonlinear 66.3 92.0 58.9 86.2 7494 1.2(81.6%) SVMstruct 1 62.2 92.1 58.9 88.5 8043 3.4(10.5%) SVMstruct 2 63.5 92.3 58.3 88.4 7117 3.5(18.0%) Regina Fritsch [...] Fehler Test Fehler Const Verlust SVMnonlinear 0.2 ± 0.1 5.1 ± 0.6 2824 ± 106 1.02 ± 0.01 SVMstruct 0.4 ± 0.4 5.1 ± 0.8 2626 ± 225 1.10 ± 0.08 die Ergebnisse sind vergleichbar Regina Fritsch SVMstruct 18 / 21 [...] Inhaltsverzeichnis 1 Einleitung 2 Diskriminanten und Verlustfunktionen 3 Margins und Margin-Maximierung 4 SVMstruct Algorithmus 5 Anwendungen und Experimente 6 Ergebnisse Regina Fritsch SVMstruct 2 / 21 Einleitung …

accuracy. $ ../svm-scale -l 0 -s range4 svmguide4 > svmguide4.scale $ ../svm-scale -r range4 svmguide4.t > svmguide4.t.scale $ python easy.py svmguide4.scale svmguide4.t.scale Accuracy = 89.4231% (279/312) [...] lower than 70%. $ ../svm-scale -l 0 svmguide4 > svmguide4.scale $ ../svm-scale -l 0 svmguide4.t > svmguide4.t.scale $ python easy.py svmguide4.scale svmguide4.t.scale Accuracy = 69.2308% (216/312) (cla [...] Accuracy data data by users by our procedure Astroparticle1 3,089 4,000 4 2 75.2% 96.9% Bioinformatics2 391 04 20 3 36% 85.2% Vehicle3 1,243 41 21 2 4.88% 87.8% Here training vectors xi are mapped into a higher …

Microsoft Word - AlarmReductionDIMVA041_corr1.doc

Specification, v1.4. http://java.sun.com/j2ee/j2ee-1_4-fr-spec.pdf. [Sua] Sun Microsystems. Java 2 Platform, Standard Edition v 1.4 Datasheet. http://java.sun.com/j2se/1.4/datasheet.1_4.html. http://jakarta [...] com/kozen99languagebased.html http://jchains.org http://java.sun.com/j2ee/j2ee-1_4-fr-spec.pdf http://java.sun.com/j2se/1.4/datasheet.1_4.html 186 M. Schönefeld [Sub] Sun Microsystems. JavaTMAPI for XML processing [...] the database after a refactored version is available, which will be case with the 1.4.2 05 version of the Sun JDK. 3.1.4 Memory reading applet A covert channel to physical system memory was found by the …

Microsoft Word - Surendran.doc

VP3, VP4, VP6 and VP7 are structural proteins, can form the virus particle (virion). The nonstructural proteins, that are only produced in cells infected by rotavirus are NSP1, NSP2, NSP3, NSP4, NSP5 and [...] Rotaviruses of different G and P types co- circulate and the main types found are G1P1A[8], G2P1B[4], G3P1A[8], G4P1A[8]. Naturally circulating rotaviruses undergo point mutations which can be used to classify [...] P[6] genotypes at a detection rate of about 20 % (Das et al., 1994). While genotypes G1P8, G2P4, G3P8, and G4P8 EXCLI Journal 2008;7:154-162 – ISSN 1611-2156 Received: August 26, 2008, accepted: September …