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EleutherAI then filtered the dataset as a whole to remove duplicates. Some sub-datasets were also filtered for quality control. Most notably, the Pile-CC is a modified version of the Common Crawl in which the data was filtered to remove parts that are not text, such as HTML formatting and links. [1]
There can be more than one maximum-length tap sequence for a given LFSR length. Also, once one maximum-length tap sequence has been found, another automatically follows. If the tap sequence in an n -bit LFSR is [ n , A , B , C , 0] , where the 0 corresponds to the x 0 = 1 term, then the corresponding "mirror" sequence is [ n , n − C , n − B ...
In Pfold gaps are treated as unknown. In this sense the probability of a gapped column equals that of an ungapped one. In Pfold the tree T is calculated prior to structure prediction through neighbor joining and not by maximum likelihood through the PCFG grammar. Only the branch lengths are adjusted to maximum likelihood estimates.
To use column-major order in a row-major environment, or vice versa, for whatever reason, one workaround is to assign non-conventional roles to the indexes (using the first index for the column and the second index for the row), and another is to bypass language syntax by explicitly computing positions in a one-dimensional array.
doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [ 14 ] [ 15 ] doc2vec has been implemented in the C , Python and Java / Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.
The second attack shows that Argon2i can be computed by an algorithm which has complexity O(n 7/4 log(n)) for all choices of parameters σ (space cost), τ (time cost), and thread-count such that n = σ ∗ τ. [8] The Argon2 authors claim that this attack is not efficient if Argon2i is used with three or more passes. [7]
These columns must be separated by spaces or tabs, the latter being recommended for reasons of compatibility between programs. [6] Each row of a file must have the same number of columns. The order of the columns must be respected: if columns of high numbers are used, the columns of intermediate numbers must be filled in.
For many algorithms that solve these tasks, the data in raw representation have to be explicitly transformed into feature vector representations via a user-specified feature map: in contrast, kernel methods require only a user-specified kernel, i.e., a similarity function over all pairs of data points computed using inner products.