The phrase "winner mode" is correct and usable in written English.
It can be used to describe a state of mindset or attitude where someone is focused on achieving success or victory.
Example: "After a tough training session, I switched to winner mode and pushed myself to give it my all in the competition."
Alternatives: "success mode" or "victory mindset."
Finally, the conclusions are drawn in Section 7. A time-frequency slotted OFDMA-TDD air interface based on the WINNER-TDD mode [8] is implemented, as illustrated in Figure 1.
When making the Difficulty Picker version, make sure to have rewards for: Winner of Easy Mode Winner of Medium Mode Winner of Hard Mode Whoever didn't fall off the top layer if they chose easy Whoever didn't fall off the middle layer if they chose easy or medium.
After achieving specific goals through the game, a percentage will increase of becoming a WWE Hall of Famer / General Manager of the Year winner, and the mode does not end until this percentage reaches 100%.
"On the Battle.net forums and Reddit, complaints about hacking South Korean players' too-accurate headshots, immediate gun-downs and even DDOS attacks against winners in competitive mode are widespread".
In this model, the system shows a sharp transition from the winner-take-all mode, which is characteristic of standard continuous attractor neural networks, to a combinatorial mode in which the equilibrium activity pattern combines embedded attractor states in response to conflicting external inputs.
Have two winners from Kombat Mode battle against each other.
Maicon is a winner in the modern mode — modern because where Carlos Alberto had so many options of gifted men to whom he could pass, Maicon knows there are only two or three ahead of him who might make magic happen.
We found that the megamap with optimal weights sharply transitions from a winner-take-all (WTA) mode to a combinatorial mode as the environment becomes sufficiently large [10].
In relatively small environments, the megamap behaves similarly to standard continuous attractor neural networks, operating in the winner-take-all (WTA) mode whereby the equilibrium state fully represents one input while effectively ignoring the second input.
