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User Image alipbagassubektii Posted: Feb 25, 2018 11:43 PM (UTC)

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Suryo Diro Joyoningrat, lebur dening Pangastuti
#njowoni
#Java
#jawa # جَاوَى اَلْوُسْطَى
#😂
User Image alexandreloboo Posted: Feb 25, 2018 11:39 PM (UTC)

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Android
A tudo está na palma da sua mão!
Dados estatísticos
Futuro ou presente
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#android #mobile #java #estatistica #development #kotlin #web #html #css #php #test #software #dado #informacao #design
User Image liiiaaan2305 Posted: Feb 25, 2018 11:37 PM (UTC)
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Trust in Allah🍃🍁
Kalau terlalu lelah, maka berhenti. Tarik nafas..
Pejamkan mata, dan ingat.. kamu tidak sendiri. Jangan menangis lagi.. 🙇
#klasik
#java
#loveallah
User Image database_design_patterns Posted: Feb 25, 2018 11:35 PM (UTC)

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Matching within cloud datacenter clusters when the desired matching is bijective, we first must resolve disagreements in cluster sizes and adjust the clusters accordingly. More specifically, we need to address the fact that within each cluster, we may have an unequal number of vertices from each of the two graphs.

The distances needed to resize the clusters can be computed by the k-means clustering procedures so that the cost incurred by reassigning the vertices is computationally minimal. Second, we do not focus on modifying existing k-means procedures to automatically make the clusters be of commensurate sizes. We view our resizing as a refinement of the original k-means procedure, and not as providing
a new clustering of the vertices. In practice, our reassigned clusters are very similar to the original k-means clusters, often differing in only a few vertices.

In the event that one of the k-means clusters is composed of a large majority of vertices from a single graph, bijective graph matching might not be sensible. In this case, we can non-bijectively match within each cluster by padding the adjacency matrices with empty vertices to make the graphs of commensurate size, and match the resulting graphs.

Vertices matched to isolates could be treated as unmatched, or we could iteratively remove the matched vertices in the larger graph and rematch the graphs, yielding a many–to–many matching. In these matching procedures, it is not surprising that we obtain best results if we use the seeded vertices to not only cluster but also match the graphs.

#ssh #tcpip #cloud #iot #artificialintelligence #nlp #machinelearning #neuralnetwork #capital #investment #roi #programming #algorithm #hacking #cybersecurity #venturecapital #datacenter #model #anonymous #bitcoin #python #LSTM #bigdata #cryptography #javascript #java #optimization #coding #pentest #rootkit
User Image click.org.pl Posted: Feb 25, 2018 11:33 PM (UTC)

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#JAVA #CLICK18
🏷 Rejestracja bezpłatna: https://click.org.pl/
🙌 Jedną z 4 dostępnych ścieżek technologicznych podczas Click (2018) jest znana i ulubiana JAVA! Prezentacje techniczne wzbudzą ciekawość nawet zapalonych medium i senior developerów! Odliczamy do 12 maja! 🙌
User Image averyhill_gal Posted: Feb 25, 2018 11:32 PM (UTC)

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