• जनक फलन | |
generation: उत्पादन औलाद जनन | |
function: अधिकार उत्सव काम | |
generation function मीनिंग इन हिंदी
generation function उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- The demand generation function in most businesses resides as part of the marketing organization.
- Apriori uses a breadth-first search strategy to count the support of itemsets and uses a candidate generation function which exploits the downward closure property of support.
- Advanced security features are also provided, including an on-board Trusted Platform Module, and thanks to the VIA C7-M's built-in Padlock features, hardware-level encryption, hashing and random number generation functions.
- A newer version of Wi-Fi Protected Access, WPA2, uses the related-key attacks against AES, but unlike those against RC4, they're far from practical to implement, and WPA2's key generation functions may provide some security against them.
- However, an ETag-generation function could be judged to be " usable " if it can be proven ( mathematically ) that duplication of ETags would be " acceptably rare ", even if it could or would occur.
- In a typical telephone company scenario, the systems providing data to the mediation platform are network elements, such as telephone switches, and the systems receiving data from the mediation platform perform accounting, auditing, archiving, or bill-generation functions.
- "In the long term, we will move to a competitive bidding regime, but in the immediate term, once the distribution sector is separated from the generation function, competitive bidding at least in base purchases can be made, " he said.
- The Electricity Commission of New South Wales was created in 1950, while Parker Henson was Chairman of the Sydney County Council, to manage electricity generation across the state, and the SCC became a distributor of electricity only after its generation functions were transferred to the new bureaucracy in 1952.
- The main issue of MIBE architecture consists in defining the boundaries of the " state-space " by shaping the motivational structure ( i . e . : tuning the drive-generation functions and / or their learning algorithms ) so that the autonomous agent performs the right behavior for each robot + environment state.