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pro vyhledávání: '"Beyenne, Ezana N."'
Autor:
Beyenne, Ezana N.
The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters
Externí odkaz:
http://arxiv.org/abs/2304.00006
Autor:
Beyenne, Ezana N., Guo, Hai-Feng
Publikováno v:
International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.2, April 2015
The spreadsheet application is among the most widely used computing tools in modern society. It provides excellent usability and usefulness, and it easily enables a non-programmer to perform programming-like tasks in a visual tabular "pen and paper"
Externí odkaz:
http://arxiv.org/abs/2203.16346
Autor:
Beyenne, Ezana N.
Spreadsheet computing is one of the more popular computing methodologies in today's modern society. The spreadsheet application's ease of use and usefulness has enabled non-programmers to perform programming-like tasks in a familiar setting modeled a
Externí odkaz:
http://arxiv.org/abs/2203.10944
Autor:
Beyenne, Ezana N.
Deep learning networks find intricate features in large datasets using the backpropagation algorithm. This algorithm repeatedly adjusts the network connections.' weights and examining the "hidden" nodes behavior between the input and output layer pro
Externí odkaz:
http://arxiv.org/abs/2202.10934