![]() Experimental results show that our neutral SVM shows improved classification performance in real datasets without sacrificing the neutrality guarantee. ![]() Furthermore, as a realization of NERM with linear classification, we derive a max-margin algorithm, neutral support vector machine (SVM). Within the NERM framework, we derive a theoretical bound on empirical and generalization neutrality risks. More specifically, given a viewpoint hypothesis, NERM works to find a target hypothesis that minimizes the empirical risk while simultaneously identifying a target hypothesis that is neutral to the viewpoint hypothesis. In this work, we introduce a novel empirical risk minimization (ERM) framework for supervised learning, neutralized ERM (NERM) that ensures that any classifiers obtained can be guaranteed to be neutral with respect to a viewpoint hypothesis. ![]() Accordingly, it has become necessary to design machine learning algorithms to ensure that discrimination, biased views, or unfair treatment do not result from decision making or predictions made via machine learning. Currently, machine learning plays an important role in the lives and individual activities of numerous people.
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![]() ![]() Wanting to keep the heat in the sweet spot above 40%+ without hitting the overheat barrier will need frantic glances from the sight to the heat gauge. Using the ND-37 to best effect will be a challenge requiring care and skill from gunners. Flames deal 320% weapon damage over 1.5s and slow for 15% for the same duration." This adds a huge bonus! " While above 40% heat, the ND37 bullets create flames. Note that the Damage and RoF quoted are the STARTING values and that performance gets better and better as the gun warms up.Īnd then there are flames: The brief flame effect widens the damage area and adds to the weapon power. Rate of damage past 50% looks to be AT LEAST double firing from cold. This produces a rising damage curve as bullet damage and rate of fire rise progressively. It is difficult to quantify damage because FG says that “rate of fire and damage scale with the heat gauge”. Even at overheat the bullet spread seems powerfully tight. Summary: Very accurate, powerful, and some flames added for good measure.Īt 0.25 starting accuracy, the ND-37 is the most precise ac yet. ![]() The “first special weapon” ( ? ) is just amazing. ![]()
![]() Then she used the captured technicians as bait to lead the team toward the Eden Bunker. Batman Gambit: Lucy decided she needed to transfer her mind into Minoko's body to survive, so she hacked into the UPA computers and falsified an order for Minoko's team to be assigned to the Real Meat kidnapping.Since UPA's equipment appears to be based on nanotechnology, this may be justified. Weapons and power cells are usable by any team member no matter how far apart they are, but keys and other miscellaneous puzzle-solving items aren't. Bag of Sharing: Used and averted, confusingly.They will shoot at enemies on their own but that's pretty much the extent of what they can do without input from the player. They cannot act or even move autonomously and can only follow exactly your exact footsteps. Artificial Stupidity: As the game was made relatively early in 3D game development history, the A.I.Aerith and Bob: Lucy and Minoko, sisters.A playthough can be seen on Youtube here. 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