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Find link is a tool written by Edward Betts.searching for Random feature 12 found (13 total)
alternate case: random feature
Transformer (deep learning architecture)
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retaining the advantages of a transformer by linking the key to the value. Random Feature Attention (2021) uses Fourier random features: φ ( x ) = 1 D [ cos Random subspace method (974 words) [view diff] exact match in snippet view article find links to article
"Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets". Pattern Recognition. 36 (6): 1291–1302. Bibcode:2003PatReFontShop International (1,205 words) [view diff] exact match in snippet view article find links to article
van Rossum in 1990. It was called a “living” font because it used a random feature of the PostScript language to generate randomly different letter formsBootstrap aggregating (2,430 words) [view diff] exact match in snippet view article find links to article
the result of the random forest's use of bagging in conjunction with random feature selection. Does not predict beyond the range of the training data. ThisIsolation forest (4,555 words) [view diff] exact match in snippet view article find links to article
Isolation Forest requires two pieces of information, those being 1) a random feature or coordinate, and 2) a random value for the feature from the rangeRadial basis function kernel (1,160 words) [view diff] case mismatch in snippet view article find links to article
Dani; Schwartz, Roy; Smith, Noah A.; Kong, Lingpeng (2021-03-19). "Random Feature Attention". arXiv:2103.02143 [cs.CL]. C.K.I. Williams; M. Seeger (2001)Knockoffs (statistics) (628 words) [view diff] exact match in snippet view article
regression model with response vector y {\displaystyle \mathbf {y} } and random feature matrix X {\displaystyle \mathbf {X} } . A matrix X ~ {\displaystyleErik van Blokland (1,090 words) [view diff] exact match in snippet view article find links to article
stopped working. Later versions of the typeface do not include the random feature that made it famous, as current font technology does not support programmingFeature hashing (3,124 words) [view diff] exact match in snippet view article find links to article
Proc. ICML. K. Ganchev; M. Dredze (2008). Small statistical models by random feature mixing (PDF). Proc. ACL08 HLT Workshop on Mobile Language ProcessingExtreme learning machine (3,643 words) [view diff] exact match in snippet view article find links to article
can provide the whitebox kernel mapping, which is implemented by ELM random feature mapping, instead of the blackbox kernel used in SVM. PCA and NMF canRelief (feature selection) (2,509 words) [view diff] exact match in snippet view article
2-way feature interactions in very large feature spaces by scoring random feature subsets rather than the entire feature space. Introduced calculationStein discrepancy (4,615 words) [view diff] case mismatch in snippet view article find links to article
Operators. arXiv preprint arXiv:2202.09497. 2022. Huggins JH, Mackey L. Random Feature Stein Discrepancies. In NeurIPS 2018. Gorham J, Raj A, Mackey L. Stochastic