. 3is Cognalytics, a high-level reference architecture for implementing cognitive analytics. It is a layered architecture and the circled numbers on the right denote layer numbers. We use the terms system and architecture synonymously, and the context should help to elucidate the intended meaning....
All platforms use lazy-binding meaning that parts of the binary won't be loaded in memory until the first function call gdal.RasterBand.noDataValue now returns NaN if the original value was NaN instead of null; when setting it to null it correctly clears the NoDataValue instead of setting...
Data Mining is the study of extracting meaning from large data sets.One part of this is reacting to bias or other noise within a set. In order to improve at doing this, the researchers must determine which classi,ers work on which types of noise.To do this, they use a distribution repr...
is offered in Knobelsdorf et al. (2015) discussion. Referencing the relatively early introduction of coding in German schools, they note that the curriculum was labelled with the terminformatische Bildung. Unpacking the meaning of this term, Knobelsdorf et al. explain that: ...
the summary should use novel phrases with words that do not necessarily appear in the source document in order to concisely paraphrase the meaning—in other words, abstractive. Existing abstractive text summarization techniques tend to replicate or copy long passages of the source document directly int...
The atomic operations themselves may be stateless, meaning that the communications between requestors and the service layer are self-contained within a particular request. Requests may comprise self-descriptive messages that include a method of an operation, a URI, and possibly some data or meta-...
It can be seen here that the input of the hidden layer at the current step includes the output of the hidden layer from the previous steps, which reflects the meaning of “recurrent” and is also one of the underlying reasons for the memory mechanism in RNNs. The output is 𝑜𝑖=...
It can be seen here that the input of the hidden layer at the current step includes the output of the hidden layer from the previous steps, which reflects the meaning of “recurrent” and is also one of the underlying reasons for the memory mechanism in RNNs. The output is 𝑜𝑖=...
(⋅)ioisutshesatcetpivsa-, which reflects the meaning tioonff"unrcetciounrorfethneto"utapnutdlayiser.aIlnstoheoanboeveoffortmhuela,uun, vd, eanrdlywinarge wreeigahstomnastrifcoesrotfhe memory mechanism in inRpuNtT,hNheidssdt.aeTtnehldaeyiaegror,auamntdpcoouunttfpoiursmt ovseitco=toar...