Microsoft Word - Prachayasittikul_050509_proof.doc

excitation and the emission maxima of (rex- citation = 0.9335, RMSexcitation = 9.9095) and (remission = 0.9626, RMSemission = 9.7508), respectively. CONCLUSION The past few decades have witnessed much advances [...] For example, in a 10-fold cross-validation 1 fold is left out as the testing set while the remaining 9 folds are used as the training set for model construction and then validated with the fold that was …

Zuarbeiten zu Forschungsprojekten

Faktoren wie generelle Technologieintensität sowie Prozessstrukturen eine Rolle (z. B. Lerch et al. 2017). 9 Diese Zusammenhänge lassen sich mit dem Rückgriff auf in der Literatur gebräuchliche Kate- gorien von [...] tivitaet20151124d.pdf 30 Hirschi, C. 2017: Die Automatisierung der Angst. In: FAZ, 26. Mai 2017 S. 9 Icks, A. et al. 2017: Digitalisierungsprozesse von KMU im Verarbeitenden Gewerbe. IfM- Materialien 255 [...] g Modernisierung der Produktion, Ausgabe 71, Karlsruhe Marx, U. 2018: Rätsel Deutschland. In: FAZ, 9. Januar (2018), S. 15 Mason, P. 2015: PostCapitalism. A Guide to Our Future, London Minssen, H. 2017: …

Ranking kinematics for revising by contextual information

Y = X, with XY ≡ ⊥ then 6: build [X] = {Y ∈ Prem|XY ≡ ⊥} 7: A ← ∨[X] 8: Prem ← (P rem \ [X]) ∪ {A} 9: else 10: A ← X 11: PΔ ← PΔ ∪ {A} 12: Prem ← Prem \ {A} 13: end if 14: end while 15: if ∨ PΔ ≡ then [...] implies i = j ), and that Δ is consistent (which can easily be checked by the well-known tolerance test [9]). Furthermore, when dealing with two sets Δ,Δ′ of conditionals and enu- merating their elements, we [...] ηS ω S 0 otherwise − min ω̃Ai {κ1,0 + κ(ω̃) + ∑ 1jni ω̃AiCi,j Bi,j ηi,j + { ηS ω S 0 otherwise }. (9) = κ(ω) + ∑ 1jni ωAiCi,j Bi,j ηi,j − min ω̃Ai {κ(ω̃) + ∑ 1jni ω̃AiCi,j Bi,j ηi,j ︸ ︷︷ ︸ (∗) }. (10) …

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device-specific ur- gency urg0 and strategy parameters s1C and t1P. Furthermore, after round n; n [0,9] the unsatis- fied agents adjust their bids/offers this will be done according to: 0 2 1 1 ( ) C C C [...] frame: 6-20 ¢ frame adjustment by 20% 40% negotiation frame 7.4-18.6¢ 8.8-17.2¢ 0 1 2 3 4 5 6 7 8 9 3 round Ak Bk price 2 1 4 5 6 each vehicle before the next road intersection is reached, imposing rigid …

Vorlesung Maschinelles Lernen - Strukturelle Modelle – Conditional Random Fields

Dortmund Einführung HMM CRF Wetterrekonstruktion Wahrscheinlichkeit p(Hi) angesichts des Eiskonsums [1]: 9 von 26 LS 8 Informatik Technische Universität Dortmund Einführung HMM CRF Rechnen der Wahrscheinlichkeit [...] |Y | × |Y | MFelix Pos Per ∅ 2: Pos 1 2 3 exp[λ1f1(Pos, Per, Udo)+ Per 4 5 6 λ2f2(Per, Udo)+ ∅ 7 8 9 λ3f3(Per, capitalletter)] Mx = exp[ ∑K k λkfk(yt−1, yt, xt) + ∑K k λkfk(yt, xt)] Potenzialfunktion rechnen: …

as to offer the creation of added-value and their productive efficiency (Blanke; Roth; Schmid 2000: 9; Heijde; Van Der Heijden 2006: 449-476). It comprises characteristics that distinguish individuals with [...] his or her own needs while also identifying their demand on the market (Blancke, Roth, Schmid 2000: 9). While doing so the personal “journey through life” should not be lost track of. The Role of Businesses …

27 Einführung HMM CRF Wetterrekonstruktion Wahrscheinlichkeit p(Hi ) angesichts des Eiskonsums [1]: 9 von 27 Einführung HMM CRF Rechnen der Wahrscheinlichkeit von Pfaden Wahrscheinlichkeit für start ,H [...] Form |Y | × |Y | MFelix Pos Per ∅ 2: Pos 1 2 3 exp[λ1f1(Pos,Per ,Udo)+ Per 4 5 6 λ2f2(Per ,Udo)+ ∅ 7 8 9 λ3f3(Per , capitalletter)] Mx = exp[ ∑K k λk fk (yt−1, yt , xt ) + ∑K k λk fk (yt , xt )] Potenzialfunktion …