establecer acuerdos - Traducción al sueco – Linguee

averaging - Swedish translation – Linguee

The EUR-Lex text collection is a collection of documents about European Union law. It contains many different types of documents, including treaties, legislation, case-law and legislative proposals, which are indexed according to several orthogonal categorization schemes to allow for multiple search facilities. This dataset provides statistics on EUR-Lex website from two views: type of content and number of legal acts available. It is updated on a daily basis.

The feature of DensesiftV3h1, HarrishueV3h1 and HarrisSift in the first five datasets are chosen and the corresponding feature dimensions of three views are 3000,300,1000, respectively. width=0.48 Dataset L s e q η x η h η a N b N e EURLex-4k 512 5e-5 1e-4 2e-3 12 8 AmazonCat-13k 256 5e-5 1e-4 2e-3 48 8 Wiki10-31k 512 1e-5 1e-4 1e-3 12 6 Wiki-500k 128 5e-5 1e-4 2e-3 96 15 Amazon-670k 128 5e-5 1e-4 2e-3 28 20. Table 3: Hyperparameters for training the model. L s e q is the length of input sequence.

för framtiden - Deutsch-Übersetzung – Linguee Wörterbuch

It … EURLex-4K 15,539 3,809 3,993 25.73 5.31 Wiki10-31k 14,146 6,616 30,938 8.52 18.64 AmazonCat-13K 1,186,239 306,782 13,330 448.57 5.04 conducted on the impact of the operations. Finally, we describe the XMCNAS discovered architecture, and the results we achieve with this architecture.

betecknad - Traducción al español – Linguee

3.1 Datasets and evaluation metrics Download Dataset (Eurlex-4K, Wiki10-31K, AmazonCat-13K, Wiki-500K) Change directory into ./datasets folder, download and unzip each dataset. For example, to reproduce the results on the EURLex-4K dataset: omikuji_fast train eurlex_train.txt --model_path ./model omikuji_fast test ./model eurlex_test.txt --out_path predictions.txt Python Binding.

1,251. 5,732.
Vara translate

3,865. 33,246. 3,714.

The data type is scipy.sparse.csr_matrix of size (N_trn, D_tfidf), where N_trn is the number of train instances and D_tfidf is the number of features. · Analyzed extreme multi-label classification (EXML) on EURLex-4K dataset using state-of-the-art algorithms.
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produktionsöverensstämmelse — Engelska översättning

The data type is scipy.sparse.csr_matrix of size (N_trn, D_tfidf), where N_trn is the number of train instances and D_tfidf is the number of features. This dataset provides statistics on EUR-Lex website from two views: type of content and number of legal acts available. It is updated on a daily basis.

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Estado de la tecnica - Traducción al sueco – Linguee

ndcg at 3 is 72.89. ndcg Introduction.