Topic Modeling Motivation – Lecture Notes

Literature General introduction to LDA: David M. Blei. Probabilistic topic models In: Commun. ACM 55, 8, 2012. DOI: 10.1145/2133806.2133826 Lecture by David Blei: http://videolectures.net/mlss09uk_blei_tm/ …

| | 2 | E | 399 | | 3 | H | 402 | | 4 | F | 403 | | 5 | J | 435 | | 6 | A | 452 | | 7 | G | 460 | | 8 | D | 527 | | 9 | B | 696 | | 10 | I | 723 | | 11 | C | 770 | Da die Einreichungen E, F, G und H nur …

Ligges Gero Szepannek, Felix Jungermann Dortmund, 10. April Abgabe: bis 17.04., 23.59 Uhr an jungerma@ls8.cs.uni- dortmund.de Übungen zur Vorlesung Wissensentdeckung in Datenbanken Sommersemester 2007 Blatt …

Diplomarbeit - Lehrstuhl 3 - Fakultät für Informatik - TU Dortmund

ihrem Bilanzkreis zu einem günstigeren Preis befridiegt werden. Aufgabenbeschreibung In Wedde et al. [8] wurde bereits anhand eines einfachen Modells für Kühlschränke, Wasserboiler, BHKWs und Batterien das [...] entworfen werden. Die Simulationsszenarien sollen einerseits mit dem Basismodell aus Wedde u. a. [8] und andererseits mit dem in dieser Arbeit entwickeltem Modell, also mit autonom handelnden kostenm [...] Bundestag. Gesetz zur Neuregelung des Rechts der Erneuerbaren Energien im Strombereich, Jul 2004. [8] Horst F. Wedde, Sebastian Lehnhoff, Christian Rehtanz, and Olav Krause. Bottom-up self-organization …

stream arrival rates correspond to varying time allowance for outlier detection accuracy 0 8 1 accuracy 0,6 0,8 0 2 0,4 0 0,2 0 0 0 5 1 0 1 5 2 0 2 5 3 0 3 5 time0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 time (c) [...] and dis- cuss future research for anytime outlier detection. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications— Data Mining 1. INTRODUCTION Data streams are prevalent [...] outliers based on labeled historical data, similar in spirit to an unbalanced classification problem [28, 8]. As validated outlier data is typically not available, unsupervised approaches search for outliers …

Rising market prices for energy, an obvious sign of a shortage in fossil fuels, and an increasing nu

words: According to the spirit of the approach there are frame adjustment by 20% 40% negotiation frame 8.8-17.2¢ 10.2-15¢ Negotiation Main reserve capacity Balancing Group Manager Balancing Group Manager Balancing [...] consumer price: 21 ¢ negotiation frame: 6-20 ¢ frame adjustment by 20% 40% negotiation frame 7.4-18.6¢ 8.8-17.2¢ Negotiation Producer Reserve Capacity Consumer Producer Producer Consumer Consumer Balancing [...] 2) due to needed quantities smaller than offers, or the producer 0 20 40 60 80 100 120 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 U n s a ti s fi e d A g e n ts Negotiation Period reinforcement learning …

doi:10.1016/j.sysarc.2006.02.005

want to apply the cross- over operator to routes 8–9–4–3 and 8–4–2–1–3. We again select node 4 as a cross-over point and achieve two new routes: 8–4–3 and 8–9–4–2–1–3. The algorithm ‘‘learns’’ about new routes [...] 4 5 8 9 3 2 7 1 1 1 2 1 1 1 1 2 1 1 Routing Table at Node 9 4 5 6 8 1 p41 p51 p61 p81 2 p42 p52 p62 p82 3 p43 p53 p63 p83 4 p44 p54 p64 p84 5 p45 p55 p65 p85 6 p46 p56 p66 p86 7 p47 p57 p67 p87 8 p48 p58 [...] genetic algorithms 6 4 5 8 9 3 2 7 1 1 1 2 1 1 1 1 2 1 1 Routing Table at Node 9 Agent ID Agent Fitness node ID and Trip time (ms) 85 0.32 (4,10),(3,30),(1,35),(2,55),(4,65), (8,65) 234 0.45 (6,10),(7,20) …

Recurrent Neural Networks – Lecture Notes

S. and Schmidhuber, J. 1997. Long short-term memory. Neural Computation . 9, 8 (1997), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735 continue to Transformer and Attention » « return to Convolutional Neural …

Recurrent Neural Networks – Lecture Notes

S. and Schmidhuber, J. 1997. Long short-term memory. Neural Computation . 9, 8 (1997), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735 continue to Transformer and Attention » « return to Convolutional Neural …

3} {4} {1, 3, 4} {1, 4} - {6} {1, 3, 6} {1, 6} {3, 6} {8} {1, 3, 8} {1, 8} {3, 8} {2, 6} {1, 2, 3, 6} - {2, 3, 6} {4, 8} {1, 3, 4, 8} {1, 4, 8} - Table 3.1: An example of generated sets, which can represent [...] resulting transactions. For example, the itemset {4, 8} actually represents the set {1, 3, 4, 8}. It also represents a potential body, namely {1, 4, 8}, but it does not represent a head, because it includes [...] basket data set used in our experiments, since in that data set there exist 8 051 frequent items, and hence Apriori would generate ( 8 051 2 ) = 32 405 275 candidate 2-itemsets. Using this technique, this number …